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u
to
m
a
ted
w
it
h
co
m
p
l
ic
ated
s
tep
s
a
n
d
ti
m
e
-
co
n
s
u
m
i
n
g
p
r
o
ce
d
u
r
es.
I
n
th
e
s
elec
t
io
n
o
f
t
h
e
b
est
d
ata
to
be
r
ep
r
esen
tati
v
e
o
f
d
ata
o
n
m
o
s
aici
n
g
p
r
o
ce
s
s
,
s
ev
er
al
r
esear
ch
er
s
u
s
ed
m
o
s
aic
s
ce
n
e
b
ased
a
p
p
r
o
ac
h
es
(
MSB
)
[
5
]
,
[
1
0
-
1
6
]
,
an
d
o
th
er
r
esear
ch
er
s
d
ev
elo
p
ed
m
o
s
aic
p
ix
el
b
ased
ap
p
r
o
ac
h
es
(
MP
B
)
[
1
7
-
2
2
]
.
I
n
ad
d
itio
n
,
th
e
ar
ea
h
a
s
a
r
e
lati
v
el
y
v
ar
io
u
s
co
m
p
lete
an
d
to
p
o
g
r
ap
h
y
,
f
r
o
m
f
lat
s
to
m
o
u
n
tai
n
o
u
s
.
T
h
e
ar
ea
also
h
as
a
r
elat
iv
el
y
co
m
p
lete
o
b
j
e
ct
o
f
la
n
d
co
v
er
,
co
n
s
is
ti
n
g
o
f
f
o
r
ests
,
p
la
n
tatio
n
s
,
s
ettle
m
e
n
ts
,
s
h
r
u
b
s
,
b
u
s
h
e
s
,
an
d
r
ice
f
ield
s
to
m
a
n
g
r
o
v
es.
T
h
e
d
y
n
a
m
ics
o
f
lan
d
u
s
e/co
v
er
ch
an
g
es
i
n
t
h
i
s
ar
ea
ar
e
q
u
i
te
d
y
n
a
m
ic
a
n
d
ca
n
b
e
as r
ep
r
esen
tin
g
a
lan
d
co
v
e
r
ch
an
g
e
an
al
y
s
i
s
ar
ea
[
1
7
]
,
[
2
3
-
26]
.
I
n
o
r
d
er
to
p
r
o
v
id
e
clo
u
d
f
r
ee
o
r
m
i
n
i
m
u
m
clo
u
d
co
v
er
ed
i
m
ag
es
o
f
th
e
e
n
tire
ter
r
ito
r
y
o
f
I
n
d
o
n
esia
,
a
f
as
t
al
g
o
r
ith
m
o
r
d
ata
p
r
o
ce
s
s
i
n
g
m
o
d
el
i
s
n
ee
d
ed
to
p
r
o
d
u
ce
clo
u
d
co
v
er
f
r
ee
o
r
m
i
n
i
m
al
clo
u
d
co
v
er
m
o
s
aic,
eith
er
f
o
r
v
is
u
a
l
an
a
l
y
s
i
s
(
v
is
u
al
m
o
s
aic
o
r
co
lo
r
b
alan
cin
g
m
o
s
aic
s
)
o
r
f
o
r
d
ig
itall
y
m
o
n
ito
r
in
g
an
al
y
s
is
.
T
h
e
o
b
j
ec
tiv
e
o
f
th
is
p
ap
er
w
a
s
to
d
ev
elo
p
a
m
o
d
e
l
o
f
r
em
o
te
s
e
n
s
i
n
g
d
ata
p
r
o
ce
s
s
i
n
g
f
o
r
L
an
d
s
at
-
8
Op
er
atio
n
al
L
a
n
d
I
m
a
g
er
(
O
L
I
)
to
o
b
tain
t
h
e
a
n
n
u
al
m
i
n
i
m
u
m
c
lo
u
d
co
v
er
o
r
clo
u
d
f
r
ee
an
d
h
az
e
m
o
s
ai
c
i
m
a
g
e
w
ith
tile
b
ased
m
o
d
el
alg
o
r
ith
m
,
co
v
er
in
g
(
1
)
f
o
r
m
u
l
atio
n
o
f
th
e
MT
B
m
o
d
el;
(
2
)
ap
p
licatio
n
o
f
MT
B
m
o
d
el
u
s
i
n
g
L
a
n
d
s
at
-
8
OL
I
;
(
3
)
c
o
m
p
ar
is
o
n
an
al
y
s
i
s
o
f
im
ag
e
o
f
MT
B
an
d
MPB
m
o
d
el
r
esu
lts
;
an
d
(
4
)
s
tatis
t
ical
an
al
y
s
is
o
f
MT
B
m
o
d
el.
I
n
ad
d
itio
n
,
t
h
e
MT
B
alg
o
r
ith
m
p
r
o
v
id
es
a
q
u
a
lit
y
as
s
es
s
m
en
t
o
f
ea
c
h
ti
le,
b
ased
o
n
t
h
e
b
est
v
al
u
e,
d
er
iv
ed
f
r
o
m
th
e
m
a
x
i
m
u
m
p
er
ce
n
tag
e
o
f
p
ix
els
f
r
o
m
th
e
clo
u
d
f
r
ee
ar
ea
,
h
az
e
f
r
ee
ar
ea
,
v
eg
etatio
n
co
v
er
ag
e,
an
d
o
p
en
lan
d
co
v
er
ag
e
f
r
o
m
a
m
u
ltit
e
m
p
o
r
al
co
llectio
n
o
f
i
m
a
g
es.
T
h
e
m
o
d
el
p
r
o
p
o
s
ed
in
th
is
p
ap
er
w
as
to
s
i
m
p
li
f
y
th
e
p
r
e
-
p
r
o
ce
s
s
i
n
g
s
tep
s
,
p
ar
ticu
lar
l
y
r
ad
io
m
etr
ic
co
r
r
ec
tio
n
s
/
n
o
r
m
aliza
tio
n
s
u
c
h
as
T
OA
(
T
o
p
o
f
A
t
m
o
s
p
h
er
e)
an
d
th
e
B
R
DF
(
B
i
-
d
ir
ec
tio
n
al
R
ef
lecta
n
ce
Di
s
tr
ib
u
t
io
n
Fu
n
cti
o
n
)
o
n
l
y
,
w
h
ile
th
e
clo
u
d
an
d
h
az
e
eli
m
i
n
atio
n
,
a
n
d
th
e
ass
e
s
s
m
e
n
t
o
f
tile
q
u
al
it
y
as
th
e
w
h
o
le
m
o
s
aic
w
as
co
m
p
leted
b
y
u
s
i
n
g
m
o
s
aic
ti
le
b
ased
ap
p
r
o
ac
h
(
MT
B
)
.
T
h
e
r
esu
lts
o
f
t
h
is
p
ap
er
w
er
e
ex
p
ec
ted
to
b
e
an
i
n
p
u
t
o
r
p
o
lic
y
b
r
ief
t
o
d
ev
elo
p
th
e
p
o
lic
y
[
6
]
.
Mo
s
ai
c
i
m
a
g
es
w
er
e
w
id
el
y
u
s
ed
,
al
th
o
u
g
h
t
h
e
y
h
a
v
e
b
ee
n
g
en
er
a
ted
th
r
o
u
g
h
d
ig
i
tal
p
r
o
ce
s
s
es
s
u
ch
as
co
lo
r
b
alan
cin
g
p
r
o
ce
s
s
es
[7
-
9]
,
b
u
t
d
esi
g
n
at
io
n
i
s
s
till
o
r
ien
ted
to
t
h
e
an
al
y
s
is
v
is
u
all
y
o
r
m
an
u
all
y
.
2.
T
YP
E
S O
F
I
M
AG
E
M
O
SAI
CS
A
cc
o
r
d
in
g
to
L
a
w
2
1
/2
0
1
3
ar
t
icle
1
5
p
ar
ag
r
ap
h
2
[
6
]
,
it
is
m
en
tio
n
ed
th
a
t
th
e
p
r
o
ce
s
s
d
ata
ar
e
r
ea
d
y
d
ata
f
r
o
m
t
h
e
p
r
i
m
ar
y
d
ata
p
r
o
ce
s
s
in
g
,
w
h
ile
t
h
e
p
r
i
m
ar
y
d
ata
is
r
a
w
d
ata
r
ec
eiv
ed
d
ir
e
ctl
y
b
y
th
e
g
r
o
u
n
d
s
tatio
n
.
Mo
s
aic
i
m
ag
e
d
ata
d
is
cu
s
s
ed
in
th
i
s
p
ap
er
eith
er
as
in
p
u
t
o
r
o
u
tp
u
t
is
ca
te
g
o
r
ized
as
th
e
p
r
o
ce
s
s
d
ata.
T
h
e
p
r
o
ce
s
s
d
at
a
u
s
ed
in
th
e
s
tu
d
y
ar
e
L
an
d
s
a
t
-
8
O
L
I
co
r
r
ec
ted
g
eo
m
etr
ic
p
r
ec
is
io
n
ter
r
a
in
-
co
r
r
ec
ted
L
ev
el
-
1
T
o
r
(
L
1
T
)
o
r
s
y
s
te
m
atic
ter
r
ain
-
co
r
r
ec
ted
L
ev
el
-
1
GT
(
L
1
GT
)
[
2
7
]
.
T
h
e
r
esu
l
tin
g
m
o
s
a
ic
i
m
ag
e
b
ec
o
m
es
p
r
o
ce
s
s
d
ata
to
b
e
p
r
o
ce
s
s
ed
,
i
n
ter
p
r
eted
,
an
al
y
ze
d
f
o
r
f
u
r
th
e
r
in
f
o
r
m
a
tio
n
e
x
tr
ac
tio
n
.
T
h
e
L
a
n
d
s
at
-
8
p
r
o
ce
s
s
d
ata
c
an
b
e
f
u
r
t
h
er
a
n
al
y
ze
d
v
is
u
all
y
u
s
i
n
g
co
lo
r
b
alan
ci
n
g
m
o
s
a
ic
(
C
B
M)
,
o
r
d
ig
itall
y
u
s
i
n
g
r
ef
lecta
n
ce
i
m
ag
e
m
o
s
aic
(
R
I
M)
[
9
]
.
C
B
M
is
a
n
i
m
a
g
e
o
f
m
o
s
aic
p
r
o
ce
s
s
r
esu
lt
s
t
h
at
ca
n
b
e
in
ter
p
r
eted
v
is
u
a
ll
y
b
ased
o
n
k
e
y
in
ter
p
r
etatio
n
s
s
u
c
h
as
to
n
e,
co
lo
r
,
p
atter
n
,
tex
tu
r
e,
s
h
ap
e,
s
ize,
s
ite,
s
h
ad
o
w
,
a
n
d
ass
o
ciatio
n
.
W
h
ile
R
I
M
is
in
ten
d
ed
p
r
i
m
ar
il
y
f
o
r
d
ig
ital
a
n
al
y
s
i
s
b
ased
o
n
th
e
r
ef
lecta
n
ce
n
u
m
b
er
o
f
ea
c
h
p
i
x
el.
B
as
ed
o
n
tile
s
ize,
R
I
M
t
y
p
e
ca
n
b
e
d
iv
id
ed
in
to
MP
B
(
Mo
s
aic
P
ix
el
B
ased
)
,
MT
B
(
Mo
s
aic
T
ile
B
ased
)
,
an
d
MSB
(
Mo
s
aic
Scen
e
B
ased
)
.
T
h
e
P
o
s
itio
n
o
f
Mo
s
aic
T
ile
B
ased
(
MT
B
)
co
m
p
ar
ed
to
th
e
p
r
ev
io
u
s
m
o
s
aic
in
g
m
o
d
el
s
o
f
R
ef
lec
tan
ce
I
m
a
g
e
Mo
s
aic
in
g
s
u
c
h
as
MSB
a
n
d
MP
B
is
s
h
o
w
n
i
n
Fig
u
r
e
1
.
Fro
m
t
h
e
Fi
g
u
r
e
1
s
h
o
w
s
clea
r
l
y
th
at
t
h
e
MT
B
is
th
e
co
n
tin
u
ati
o
n
m
o
d
els o
f
MP
B
.
T
h
e
p
r
in
cip
al
d
if
f
er
en
ce
s
b
et
w
ee
n
t
h
ese
t
w
o
t
y
p
e
s
o
f
i
m
a
g
e
m
o
s
aics
C
B
M
an
d
R
I
M
w
er
e
s
h
o
w
n
in
F
ig
u
r
e
2
.
T
h
e
C
B
M
w
as
ch
ar
ac
ter
ized
b
y
p
an
-
s
h
ar
p
en
i
n
g
p
r
o
d
u
ct,
d
ev
elo
p
ed
w
ith
co
m
m
er
cial
s
o
f
t
w
ar
e,
s
e
m
i
-
a
u
to
m
a
tic
alg
o
r
it
h
m
,
m
o
r
e
s
ea
m
le
s
s
,
w
it
h
s
u
b
j
ec
tiv
e
an
d
li
m
ited
q
u
alit
y
o
f
in
f
o
r
m
atio
n
,
h
ig
h
s
p
atia
l
r
eso
lu
tio
n
(
1
5
m
)
,
an
d
m
o
r
e
s
u
itab
le
f
o
r
v
i
s
u
al
a
n
al
y
s
is
.
W
h
ile
th
e
R
I
M
w
as
c
h
ar
ac
te
r
ized
b
y
f
u
ll
b
an
d
m
u
lt
is
p
ec
tr
al
p
r
o
d
u
ct,
d
ev
elo
p
ed
b
y
o
p
en
s
o
u
r
ce
s
o
f
t
w
ar
e,
au
to
m
at
ic
al
g
o
r
ith
m
,
t
h
e
s
ea
m
les
s
d
ep
en
d
o
n
th
e
s
ca
le,
w
it
h
m
o
r
e
q
u
ali
t
y
o
f
i
n
f
o
r
m
atio
n
,
lo
w
er
r
eso
lu
tio
n
(
3
0
m
)
,
an
d
s
u
itab
le
f
o
r
d
i
g
ital
a
n
al
y
s
i
s
[
2
1
]
.
T
h
e
MPB
m
o
d
el
is
a
p
ix
el
-
b
ased
ap
p
r
o
ac
h
th
at
m
ee
ts
t
h
e
b
est
r
eq
u
ir
e
m
e
n
ts
o
f
m
u
lt
ite
m
p
o
r
al
d
ata
s
ets
in
a
ce
r
tain
p
er
io
d
.
A
n
d
t
h
e
MT
B
m
o
d
el
is
a
n
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at
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s
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et
u
p
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o
m
a
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o
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o
f
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h
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est
t
iles
o
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
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p
E
n
g
,
Vo
l.
8
,
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.
1
,
Feb
r
u
ar
y
2
0
1
8
:
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6
0
–
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7
1
362
m
u
ltit
e
m
p
o
r
al
d
ata
s
ets.
W
h
il
e
th
e
M
SB
is
a
n
ap
p
r
o
ac
h
b
as
ed
o
n
th
e
b
est
co
llectio
n
o
f
s
c
en
es,
clo
u
d
f
r
ee
o
r
m
i
n
i
m
al
clo
u
d
co
v
er
f
r
o
m
m
u
l
tite
m
p
o
r
al
d
ata
s
ets.
Fig
u
r
e
1
.
T
h
e
p
o
s
itio
n
o
f
m
o
s
aic
tile b
ased
a
m
o
n
g
p
r
ev
io
u
s
m
o
s
aici
n
g
m
o
d
els
Fig
u
r
e
2
.
T
h
e
ch
ar
ac
ter
is
tics
o
f
co
lo
r
b
alan
cin
g
m
o
s
a
icin
g
a
n
d
r
ef
lecta
n
ce
i
m
a
g
e
m
o
s
aici
n
g
tech
n
iq
u
e
s
,
ad
o
p
ted
f
r
o
m
[
2
1
]
w
ith
m
o
d
if
i
ca
tio
n
s
MP
B
an
d
MT
B
m
o
d
els
ar
e
m
o
r
e
s
u
itab
le
f
o
r
m
o
s
aici
n
g
i
n
ar
ea
s
th
at
w
er
e
o
f
te
n
o
r
ev
e
n
co
v
er
ed
in
clo
u
d
s
a
n
d
h
az
e
s
t
h
r
o
u
g
h
o
u
t
t
h
e
y
ea
r
,
s
u
ch
as
P
ap
u
a,
s
o
m
e
p
ar
ts
o
f
Ka
li
m
an
ta
n
a
n
d
Su
m
a
tr
a.
W
h
ile
t
h
e
MSB
m
o
d
el
w
as
m
o
r
e
s
u
itab
le
f
o
r
m
o
s
aici
n
g
in
r
e
g
io
n
s
t
h
at
h
av
e
th
e
p
o
s
s
ib
ili
t
y
to
o
b
tain
a
c
l
e
ar
i
m
ag
e
w
it
h
in
a
y
ea
r
,
s
u
c
h
a
s
t
h
e
is
lan
d
s
o
f
J
av
a,
B
ali,
Nu
s
a
T
en
g
g
ar
a,
an
d
Ma
lu
k
u
[
5
]
.
I
d
ea
ll
y
,
g
eo
m
e
tr
ic
co
r
r
ec
tio
n
also
in
cl
u
d
es
co
r
r
ec
tio
n
o
f
s
lo
p
e
o
r
ter
r
ain
co
r
r
e
ctio
n
.
Ho
w
ev
er
,
th
e
s
elec
tio
n
o
f
b
o
th
r
ad
io
m
e
tr
ic
co
r
r
ec
tio
n
s
,
alr
ea
d
y
m
ee
t
th
e
m
i
n
i
m
u
m
s
tan
d
ar
d
s
o
f
th
e
p
r
o
ce
s
s
,
b
u
t
i
t
w
a
s
also
in
te
n
d
ed
to
s
i
m
p
li
f
y
t
h
e
r
ad
io
m
etr
ic
co
r
r
ec
tio
n
s
tep
s
.
T
h
is
p
ap
er
w
ill o
n
l
y
e
x
a
m
i
n
e
th
e
m
o
s
aici
n
g
u
s
in
g
MP
B
an
d
MT
B
ap
p
r
o
ac
h
es.
2
.
1
.
M
o
del
M
o
s
a
ic
P
ix
el
b
a
s
ed
(
M
P
B
)
T
h
is
p
ap
er
w
a
s
f
o
c
u
s
ed
o
n
m
i
n
i
m
u
m
clo
u
d
co
v
er
m
o
s
aic
i
m
ag
e
o
f
t
h
e
O
L
I
L
a
n
d
s
at
-
8
m
u
lt
ite
m
p
o
r
al
d
ata
f
o
r
th
e
p
u
r
p
o
s
e
o
f
la
n
d
ar
ea
an
al
y
s
is
,
e
s
p
ec
iall
y
v
e
g
e
tatio
n
r
elate
d
an
al
y
s
is
.
T
h
er
e
w
er
e
6
(
s
i
x
)
MP
B
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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&
C
o
m
p
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n
g
I
SS
N:
2
0
8
8
-
8708
A
Min
i
mu
m
C
lo
u
d
C
o
ve
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Mo
s
a
ic
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ma
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Mo
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era
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n
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l La
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ma
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.
(
R
a
tih
Dewa
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ti
)
363
ap
p
r
o
ac
h
alg
o
r
ith
m
s
f
o
r
lan
d
ar
ea
an
al
y
s
is
,
n
a
m
el
y
Ma
x
i
m
u
m
NDVI
,
f
o
r
m
u
la
(
1
)
;
Ma
x
i
m
u
m
R
e
f
lecta
n
ce
Nu
m
b
er
s
o
f
NI
R
,
SW
I
R
d
e
v
i
d
ed
b
y
Gr
ee
n
B
an
d
s
I
n
d
ex
,
a
f
o
r
m
u
la
(
2
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;
Ma
x
i
m
u
m
R
e
f
le
ctan
ce
N
u
m
b
er
s
o
f
NI
R
d
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id
ed
b
y
Gr
ee
n
B
an
d
s
I
n
d
e
x
,
a
f
o
r
m
u
la
(
3
)
;
Ma
x
i
m
u
m
R
e
f
lecta
n
ce
Nu
m
b
er
s
o
f
SW
I
R
d
ev
id
ed
b
y
Gr
ee
n
B
an
d
s
I
n
d
ex
,
a
f
o
r
m
u
l
a
(
4
)
;
Min
i
m
u
m
R
e
f
lecta
n
ce
Nu
m
b
er
o
f
R
ed
B
an
d
,
f
o
r
m
u
l
a
(
5
)
;
an
d
Mi
n
i
m
u
m
Haz
e
I
n
d
ex
,
a
f
o
r
m
u
la
(
6
)
;
Ma
x
NDVI
(
i,j
)
=
(
I
NI
R
(
i,
j
)
-
I
R
ed
(
i,j
)
)
/(
I
NI
R
(
i,j)
+I
R
ed
(
i,
j
)
)
(
1
)
Ma
x
NI
R
,
SW
I
R
_
Gr
ee
n
(
i,j
)
=
Ma
x
i
m
u
m
(
I
NI
R
(
i,j
)
,
SW
I
R
(
i,j
)
)
/I
Gr
ee
n
(
i,j
)
(
2
)
Ma
x
NI
R
_
Gr
ee
n
(
i,j
)
=
I
NI
R
(
i,
j)
/I
Gr
ee
n
(
i,j
)
(
3
)
Ma
x
SW
I
R
_
Gr
ee
n
(
i,j
)
=
I
SW
I
R
(
i,j
)
/I
Gr
ee
n
(
i,j
)
(
4
)
Min
R
ed
(
i,j
)
=
I
R
ed
(
i,
j
)
(
5
)
Min
HI
(
i,j
)
=
(
3
.
2
*
I
B
lu
e(
i,j
)
)
-
I
R
ed
(
i,j
)
(
6
)
W
h
er
e:
NDVI
:
No
r
m
alize
d
Dif
f
er
en
c
e
Veg
etatio
n
I
n
d
e
x
;
I
b
x
(
i,j
)
:
r
ef
lecta
n
ce
b
an
d
b
x
,
in
th
e
r
o
w
co
lu
m
n
(
i,j
)
;
NI
R
:
Nea
r
I
n
f
r
aRed
;
S
W
I
R
:
S
h
o
r
t
W
av
e
I
n
f
r
aRed
;
B
lu
e,
Gr
ee
n
,
R
ed
:
B
lu
e,
Gr
ee
n
,
R
ed
B
an
d
s
;
HI
:
Haz
e
I
n
d
ex
.
B
ef
o
r
e
m
er
g
i
n
g
m
u
ltis
ce
n
e
m
o
s
aics
o
n
t
h
e
MP
B
m
o
d
el,
a
m
u
lti
te
m
p
o
r
al
m
o
s
aic
p
er
s
ce
n
e
w
as
p
r
o
ce
s
s
ed
.
T
h
e
s
tu
d
y
ar
ea
was
co
v
er
ed
b
y
1
0
(
ten
)
s
ce
n
e
s
o
f
t
h
e
L
a
n
d
s
at
d
ata.
Sp
ec
tr
al
b
an
d
s
u
s
ed
w
er
e
b
an
d
-
2
to
b
an
d
-
6
w
it
h
a
s
p
atial
r
eso
lu
tio
n
o
f
3
0
m
eter
s
,
th
at
is
s
u
itab
le
f
o
r
lan
d
ass
es
s
m
en
t,
m
ai
n
l
y
v
eg
eta
tio
n
-
r
elate
d
an
a
l
y
s
is
.
T
h
e
ex
p
er
i
m
e
n
tal
i
m
p
le
m
en
ta
t
io
n
o
f
t
h
e
MP
B
m
o
d
el
f
o
r
th
is
p
ap
er
ar
ea
w
as
co
n
d
u
cted
u
s
in
g
5
(
f
iv
e)
d
atas
et
g
r
o
u
p
s
,
n
a
m
e
l
y
t
h
e
d
ata
g
r
o
u
p
o
f
a
h
al
f
(
0
.
5
)
y
ea
r
s
,
o
n
e
(
1
)
y
ea
r
,
o
n
e
a
n
d
a
h
al
f
(
1
.
5
)
y
ea
r
s
,
t
w
o
(
2
)
y
ea
r
s
,
an
d
t
w
o
a
n
d
a
h
al
f
(
2
.
5
)
y
ea
r
s
as sh
o
w
n
in
Fi
g
u
r
e
3
.
E
ac
h
g
r
o
u
p
o
f
d
ata
w
ill b
e
an
al
y
ze
d
t
h
e
clo
u
d
co
v
er
an
d
h
az
e
clea
r
n
es
s
le
v
els.
Fig
u
r
e
3
.
T
h
e
p
er
i
o
d
s
o
f
d
ataset
g
r
o
u
p
s
f
o
r
MP
B
ex
p
er
i
m
e
n
t
Fig
u
r
e
4
.
A
l
g
o
r
ith
m
o
f
t
h
e
d
ev
elo
p
m
e
n
t o
f
m
o
s
aic
p
i
x
el
b
ased
(
MPB
)
,
a
d
o
p
ted
f
r
o
m
[
2
1
]
w
ith
m
i
n
o
r
m
o
d
i
f
icat
io
n
s
I
t
w
a
s
a
s
s
u
m
ed
th
at
th
e
lo
n
g
e
r
th
e
ti
m
e
p
er
io
d
o
f
d
ataset
u
s
ed
th
e
h
i
g
h
er
ac
h
ie
v
i
n
g
m
i
n
i
m
al
clo
u
d
co
v
er
ev
en
clo
u
d
f
r
ee
.
T
h
e
im
ag
e
q
u
alit
y
o
f
MP
B
p
r
o
ce
s
s
in
g
r
esu
lts
o
f
v
ar
io
u
s
t
i
m
e
p
e
r
io
d
s
w
er
e
an
a
l
y
ze
d
q
u
alitati
v
el
y
a
n
d
d
escr
ip
tiv
el
y
.
On
l
y
2
(
t
w
o
)
m
ai
n
p
ar
a
m
ete
r
s
o
f
i
m
a
g
e
m
o
s
aic
q
u
alit
y
t
h
at
w
a
s
clo
u
d
co
v
er
an
d
h
az
e
co
n
d
itio
n
s
w
er
e
an
al
y
ze
d
f
r
o
m
th
e
i
m
a
g
e
d
is
p
lay
o
f
b
an
d
co
m
b
i
n
atio
n
i
m
a
g
e
s
o
f
R
GB
4
3
2
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
3
6
0
–
3
7
1
364
R
GB
6
5
4
.
T
h
e
p
r
o
ce
s
s
in
g
s
te
p
s
o
f
th
e
MP
B
m
o
s
aic
in
g
i
n
t
h
is
p
ap
er
w
er
e
p
r
esen
ted
in
F
ig
u
r
e
4
.
T
h
e
r
es
u
lts
o
f
th
e
MP
B
m
o
d
e
l
w
er
e
s
h
o
wn
b
y
R
GB
co
lo
r
co
m
p
o
s
i
tes o
f
b
an
d
s
4
3
2
an
d
6
5
4
.
2
.
2
.
M
o
del
M
o
s
a
ic
T
ile
b
a
s
ed
(
M
T
B
)
T
h
e
M
T
B
m
o
d
el
w
a
s
d
ev
elo
p
ed
b
ased
o
n
th
e
r
esu
lts
o
f
t
h
e
MP
B
an
d
MSB
ev
alu
atio
n
th
at
h
av
e
b
ee
n
d
ev
elo
p
ed
[
2
1
]
,
an
d
r
ef
er
s
to
th
e
m
o
d
els
o
f
Un
iv
er
s
i
t
y
o
f
Ma
r
y
lan
d
(
UM
)
[
1
7
]
,
[
1
9
]
,
[
2
0
]
,
[
2
6
]
an
d
Au
s
tr
alia
n
Natio
n
al
C
ar
b
o
n
A
cc
o
u
n
ti
n
g
S
y
s
te
m
(
NC
AS)
[
1
3
]
,
as
w
el
l
as
I
n
d
o
n
esia
Natio
n
al
C
ar
b
o
n
A
cc
o
u
n
ti
n
g
S
y
s
te
m
(
I
N
C
A
S)
[
5
]
.
T
h
e
p
r
o
ce
s
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s
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s
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f
m
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it
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m
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d
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l
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t
h
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s
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n
F
ig
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r
e
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.
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h
e
r
e
s
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s
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n
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y
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o
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tes
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f
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n
d
s
4
3
2
an
d
6
5
4
.
Fig
u
r
e
5
.
A
l
g
o
r
ith
m
o
f
t
h
e
d
ev
elo
p
m
e
n
t o
f
m
o
s
aic
ti
le
b
ased
(
MT
B
)
I
n
th
e
MP
B
m
o
d
el,
th
e
r
e
m
ai
n
in
g
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d
co
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r
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e
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m
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ased
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ile
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m
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m
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h
e
m
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r
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h
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o
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al
g
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w
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ess
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et
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er
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r
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m
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h
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th
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g
o
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ith
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m
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g
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o
n
th
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a
s
to
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ed
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ce
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e
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ize
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f
th
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h
e
q
u
alit
y
o
f
ea
c
h
t
ile
i
n
p
er
ce
n
t
(
%)
i
n
th
e
m
o
s
aic
i
m
a
g
e
ca
n
b
e
a
n
al
y
ze
d
u
s
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g
a
s
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m
p
l
e
I
o
C
VO
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n
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lear
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Ve
g
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n
d
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d
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o
r
it
h
m
as s
h
o
w
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in
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o
r
m
u
la
(
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)
.
Fin
al_
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en
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C
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W
h
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e:
a.
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d
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e
is
th
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ta
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v
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et
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n
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d.
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L
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n
d
C
o
n
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(
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id
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is
th
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a,
b
,
c,
d
ar
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c
o
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f
icie
n
ts
g
i
v
en
th
e
v
al
u
e
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
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&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
Min
i
mu
m
C
lo
u
d
C
o
ve
r
Mo
s
a
ic
I
ma
g
e
Mo
d
el
o
f th
e
Op
era
tio
n
a
l La
n
d
I
ma
g
er …
.
(
R
a
tih
Dewa
n
ti Dimy
a
ti
)
365
Un
li
k
e
th
e
MP
B
m
o
d
el
ap
p
r
o
ac
h
,
in
t
h
e
MT
B
m
o
d
el
ap
p
r
o
ac
h
th
e
d
ata
w
er
e
g
r
o
u
p
ed
b
ased
o
n
3
(
th
r
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)
tile
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ize
s
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o
n
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id
er
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g
o
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th
e
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ize
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n
d
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at
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m
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g
e
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ce
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h
r
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ial
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izes
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f
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1
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0
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1
0
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eg
r
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1
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n
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0
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0
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ix
els;
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d
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n
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d
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co
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o
f
8
0
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8
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p
ix
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h
a
v
e
b
ee
n
d
o
n
e.
An
il
lu
s
tr
ati
v
e
co
m
p
ar
is
o
n
o
f
th
e
d
if
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er
e
n
ce
i
n
s
ize
a
n
d
n
u
m
b
e
r
o
f
tile
s
o
n
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B
p
r
o
ce
s
s
in
g
i
n
t
h
e
s
t
u
d
y
ar
ea
was sh
o
w
n
i
n
Fi
g
u
r
e
6
.
T
h
e
im
a
g
e
p
r
o
ce
s
s
in
g
r
esu
lt
s
o
f
M
T
B
m
o
d
el
w
it
h
th
r
ee
tile
s
izes,
w
a
s
an
al
y
ze
d
th
eir
q
u
alit
y
o
f
m
o
s
aic,
clo
u
d
co
v
er
,
an
d
its
h
az
e.
T
h
e
r
esu
lt
w
a
s
ass
u
m
ed
t
h
at
th
e
s
m
aller
th
e
ti
le
s
ize
w
i
ll
b
e
th
e
g
r
ea
ter
th
e
n
u
m
b
er
o
f
r
ec
o
r
d
tiles
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a
n
d
t
h
e
h
ig
h
er
t
h
e
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u
al
it
y
o
f
t
h
e
m
o
s
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T
h
e
i
m
ag
e
r
esu
lts
f
r
o
m
MP
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an
d
MT
B
m
o
d
el
s
w
er
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co
m
p
ar
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to
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l
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n
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a
n
d
d
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ta
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e
s
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ts
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es
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lt.
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h
en
th
e
i
m
a
g
e
r
es
u
lts
o
f
MT
B
m
o
d
el
w
er
e
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al
y
ze
d
b
y
t
h
e
p
er
ce
n
tag
e
o
f
clo
u
d
co
v
er
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e
an
d
h
az
e
to
co
n
clu
d
e
th
e
q
u
alit
y
o
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h
e
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m
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g
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d
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ce
d
.
T
i
l
e
0
,
1
0
T
i
l
e
0
,
0
5
T
i
l
e
0
,
0
2
Fig
u
r
e
6
.
I
llu
s
tr
atio
n
o
f
i
m
ag
e
d
ata
tili
n
g
in
s
tu
d
y
ar
ea
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
NS
3
.
1
.
Co
lo
r
B
a
la
ncing
M
o
s
a
ic
(
CB
M
)
Fig
u
r
e
7
s
h
o
w
s
a
q
u
ic
k
lo
o
k
(
QL
)
o
f
C
B
M
m
o
s
aic
i
m
ag
e
w
it
h
R
GB
4
3
2
m
u
lti
tem
p
o
r
al
d
at
a
co
m
p
o
s
i
tio
n
in
2
0
1
6
an
d
2
0
1
7
.
T
h
e
m
o
s
aic
i
m
a
g
e
o
n
t
h
e
le
f
t
s
h
o
w
s
m
o
r
e
b
lu
r
r
ed
t
h
an
t
h
e
r
ig
h
t
i
m
a
g
e.
Af
ter
th
e
i
m
a
g
e
e
n
h
a
n
ce
m
en
t
t
h
r
o
u
g
h
th
e
s
tr
etc
h
i
n
g
h
i
s
to
g
r
a
m
,
t
h
e
r
es
u
lt
s
w
h
ich
w
er
e
s
h
o
w
n
o
n
th
e
r
ig
h
t
i
m
a
g
e
lo
o
k
clea
r
er
an
d
m
o
r
e
co
n
tr
as
t
y
.
Fig
u
r
e
7
.
C
o
lo
r
b
alan
c
in
g
m
o
s
aic
i
m
a
g
es o
f
R
GB
4
3
2
T
h
e
r
esu
lts
o
f
th
e
C
B
M
Natu
r
al
C
o
lo
r
C
o
m
b
i
n
atio
n
o
f
R
G
B
4
3
2
L
an
d
s
at
-
8
d
ata
o
f
2
0
1
6
an
d
2
0
1
7
lo
o
k
s
ea
m
le
s
s
,
n
o
li
n
e
o
r
a
s
ig
n
i
n
d
icati
n
g
th
at
t
h
e
i
m
ag
e
w
as
g
en
er
ated
f
r
o
m
s
e
v
er
al
d
if
f
er
e
n
t
p
ath
-
r
o
w
s
ce
n
e
s
o
r
d
if
f
er
en
t
ti
m
e
r
ec
o
r
d
in
g
.
Ho
w
ev
er
,
th
e
m
o
s
aic
i
m
ag
e
w
a
s
o
n
l
y
u
s
ed
f
o
r
v
i
s
u
a
l
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al
y
s
is
,
s
i
n
ce
t
h
e
i
m
a
g
e
w
as
a
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b
alan
ci
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g
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d
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ct
o
n
th
e
i
m
a
g
e
t
h
at
h
a
s
b
ee
n
d
o
n
e
h
is
to
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r
a
m
ad
j
u
s
t
m
en
t
to
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e
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m
ag
e
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te
n
s
it
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v
al
u
e
o
n
ea
c
h
b
an
d
.
T
h
e
p
r
o
ce
s
s
w
as
d
ed
icate
d
to
th
e
ea
s
e
o
f
v
is
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al
i
n
ter
p
r
etatio
n
,
an
d
ca
n
n
o
t
b
e
u
s
ed
f
o
r
d
ig
ital
i
n
ter
p
r
etatio
n
b
ec
au
s
e
its
r
ef
lecta
n
ce
v
a
lu
e
d
o
es
n
o
t
r
ef
lect
th
e
o
r
i
g
in
a
l
v
a
lu
e
o
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t
h
e
r
ef
lecta
n
ce
.
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h
e
ad
v
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ta
g
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o
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th
e
C
B
M
p
r
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d
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ct
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er
e
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c
e
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ate
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u
ct
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h
i
g
h
est
a
m
o
n
g
th
e
v
ar
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u
s
m
o
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p
r
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p
r
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ed
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a
y
'
s
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m
er
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n
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s
o
f
t
w
ar
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ad
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itio
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ea
m
le
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s
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r
o
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i
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s
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o
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it
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m
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m
in
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te
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d
s
au
to
m
atica
ll
y
.
T
h
is
C
B
M
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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I
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t J
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C
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p
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n
g
,
Vo
l.
8
,
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.
1
,
Feb
r
u
ar
y
2
0
1
8
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6
0
–
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7
1
366
p
r
o
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s
in
g
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ter
m
s
o
f
ti
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e
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n
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h
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o
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elati
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u
s
e
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atic.
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h
e
L
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d
s
at
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8
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m
ag
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also
p
r
o
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ce
1
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-
m
eter
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B
M
p
r
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d
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cts u
tili
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g
a
p
an
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h
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at
ic
b
an
d
.
3
.
2
.
M
o
s
a
ic
P
ix
el
B
a
s
ed
(
M
P
B
)
I
n
th
e
MP
B
m
o
d
el
ap
p
r
o
ac
h
,
b
ef
o
r
e
s
p
atial
m
u
lti
s
ce
n
e
m
o
s
aic
p
r
o
ce
s
s
in
g
,
a
m
u
ltit
e
m
p
o
r
al
m
o
s
ai
c
p
er
s
ce
n
e
w
a
s
p
r
o
ce
s
s
ed
f
ir
s
t.
T
h
er
e
w
er
e
1
0
(
ten
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s
ce
n
es
i
m
ag
e
co
v
er
ed
th
e
s
t
u
d
y
ar
ea
.
T
h
e
b
an
d
s
elec
tio
n
u
s
ed
w
as
t
h
e
ap
p
r
o
p
r
iate
b
an
d
f
o
r
th
e
an
al
y
s
is
o
f
ter
r
estri
al
ar
ea
s
,
m
a
in
l
y
r
elate
d
to
v
eg
etatio
n
,
co
v
er
i
n
g
b
an
d
-
2
to
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an
d
-
6
h
a
v
in
g
a
s
p
a
tial r
eso
lu
tio
n
o
f
3
0
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eter
s
.
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h
e
s
tu
d
y
w
i
th
t
h
e
MP
B
m
o
d
el
w
as
co
n
d
u
cted
u
s
i
n
g
5
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f
iv
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d
ata
s
ets,
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h
at
w
as
h
al
f
-
y
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r
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i
t
h
10
-
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2
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ata
ac
q
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is
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)
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o
n
e
y
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r
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it
h
1
2
-
2
3
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ata
ac
q
u
is
itio
n
)
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o
n
e
an
d
a
h
al
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r
s
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it
h
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ata
ac
q
u
is
itio
n
)
,
t
w
o
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r
s
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ith
3
4
-
3
8
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ata
ac
q
u
is
itio
n
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,
an
d
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o
an
d
a
h
al
f
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r
s
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w
ith
4
6
-
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ata
ac
q
u
is
i
tio
n
)
d
ata
g
r
o
u
p
.
E
ac
h
g
r
o
u
p
o
f
d
ata
co
n
s
is
ti
n
g
o
f
a
n
u
m
b
er
o
f
s
ce
n
e
s
o
b
s
er
v
ed
its
clea
r
n
ess
f
r
o
m
clo
u
d
co
v
er
an
d
h
az
e.
T
h
e
lo
n
g
er
t
h
e
ti
m
e
-
r
an
g
e
o
f
d
ata
u
s
ed
,
th
e
h
i
g
h
er
th
e
o
p
p
o
r
tu
n
it
y
o
f
o
b
tai
n
in
g
clo
u
d
-
f
r
ee
an
d
h
az
e
m
o
s
aic
i
m
ag
e
.
Fi
g
u
r
e
8
s
h
o
w
s
an
ex
a
m
p
le
o
f
in
ter
m
ed
iate
r
esu
lts
,
m
u
lt
ite
m
p
o
r
al
m
o
s
ai
c
p
er
b
lo
ck
o
f
o
n
e
d
eg
r
ee
s
ize
(
1
1
0
x
1
1
0
k
m
2
)
b
ef
o
r
e
m
er
g
i
n
g
i
n
to
a
w
h
o
le
m
o
s
aic.
T
h
o
s
e
b
lo
ck
s
w
er
e
u
s
e
d
as
th
e
in
p
u
t
f
o
r
m
u
ltis
ce
n
e
s
p
atia
l
o
n
MP
B
m
o
s
aicin
g
.
T
h
e
r
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lted
m
o
s
aic
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n
tain
s
f
u
ll
y
5
(
f
iv
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b
an
d
i
m
ag
es,
w
h
ic
h
ca
n
b
e
f
u
r
t
h
er
an
al
y
ze
d
.
Fro
m
i
m
a
g
e
m
o
s
a
ic
an
al
y
s
i
s
p
r
o
ce
s
s
ed
b
y
th
e
MP
B
m
o
d
el
w
it
h
an
n
u
al
d
ata
v
ar
iatio
n
s
,
as
s
h
o
w
n
i
n
Fig
u
r
e
9
,
it
ca
n
b
e
co
n
clu
d
ed
t
h
at
th
e
2
0
1
6
im
a
g
e
lo
o
k
s
r
elat
iv
el
y
clea
r
a
n
d
f
o
u
n
d
o
n
l
y
a
li
ttle
h
az
e
an
d
clo
u
d
r
ath
er
th
a
n
t
h
e
2
0
1
5
an
d
2
0
1
7
i
m
a
g
e
s
,
w
h
ic
h
w
as
s
h
o
w
n
i
n
th
e
r
ed
cir
cle
m
ar
k
.
I
ts
i
n
d
ic
ate
th
at
th
er
e
w
as
a
clea
r
p
ix
el
o
f
at
least
o
n
e
o
r
m
o
r
e
o
f
t
h
e
d
ata
s
ets
u
s
ed
,
m
ea
n
in
g
th
a
t
t
h
e
w
ea
th
er
co
n
d
itio
n
s
in
t
h
e
s
tu
d
y
ar
e
a
o
f
th
e
y
ea
r
h
av
e
b
ee
n
r
elativ
el
y
clea
r
.
Fig
u
r
e
8
.
P
er
b
lo
ck
MP
B
m
o
s
aic
i
m
a
g
e
(
1
0
s
ce
n
es
o
f
J
an
u
ar
y
-
J
u
n
e
2
0
1
7
d
ataset)
Fig
u
r
e
1
0
.
QL
o
f
MP
B
im
a
g
e
f
r
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m
to
p
to
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tto
m
(
in
s
eq
u
e
n
ce
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th
e
p
er
io
d
s
o
f
0
,
5
y
ea
r
s
; 1
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r
; 1
,
5
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r
s
; 2
y
ea
r
s
; a
n
d
2
.
5
y
ea
r
s
; t
h
e
lef
t i
m
a
g
es
: RGB
4
3
2
an
d
r
ig
h
t i
m
a
g
e:
R
GB
6
5
4
Fig
u
r
e
9
.
QL
o
f
a
n
n
u
all
y
m
o
s
aic
p
ix
el
b
ased
i
m
a
g
e
(
MP
B
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
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ma
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.
(
R
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tih
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ata
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g
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h
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le
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ed
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b
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g
r
e
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ated
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m
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in
t
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s
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n
i
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d
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m
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e
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al
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is
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lt
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h
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m
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d
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is
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li
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h
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ed
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Ku
s
t
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[
2
1
]
.
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h
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im
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g
e
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ata
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e
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y
f
o
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r
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er
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ter
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u
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th
e
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s
th
e
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n
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y
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is
o
f
MP
B
im
ag
e
s
2
0
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d
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,
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er
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e
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lace
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s
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o
w
n
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n
t
h
e
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ar
k
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ea
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f
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ia
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n
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.
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ts
in
d
icat
e
th
at
t
h
er
e
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n
o
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r
p
ix
el
a
m
o
n
g
t
h
e
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ata
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et
s
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s
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n
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n
g
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n
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n
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d
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e
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y
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s
u
s
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g
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h
e
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o
v
e
a
MPB
m
o
d
el
w
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th
a
n
n
u
al
d
ata
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ar
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s
h
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t
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a
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m
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e
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ied
th
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i
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s
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n
g
a
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m
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d
el
w
it
h
s
e
m
i
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a
n
n
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al
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ata
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ar
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n
s
,
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th
t
h
e
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lt
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as
s
h
o
w
n
i
n
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g
u
r
e
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m
t
h
is
f
i
g
u
r
e,
it
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n
b
e
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n
cl
u
d
ed
th
at
t
h
e
MP
B
m
o
d
el
w
it
h
s
e
m
i
-
a
n
n
u
al
d
ata
v
ar
iatio
n
s
o
f
a
h
al
f
y
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r
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,
1
y
ea
r
,
1
.
5
y
ea
r
s
,
2
y
ea
r
s
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a
n
d
2
.
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y
ea
r
s
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v
e
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u
ce
d
m
o
r
e
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u
f
f
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n
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s
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m
i
n
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u
d
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v
er
.
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w
e
v
er
,
f
o
r
h
az
e
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u
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y
w
as
s
ti
ll
n
ee
d
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to
b
e
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i
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ated
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ata
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s
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8
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d
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t
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h
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ased
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ed
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ased
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est
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tile
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r
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p
.
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h
e
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lt
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s
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th
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m
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el
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u
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n
e
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r
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ata
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et.
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ile
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e
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m
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el
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ize
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ar
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ilit
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o
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ti
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al
m
o
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ai
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i
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s
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m
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g
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to
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T
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p
r
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ess
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ly
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la
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im
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g
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s
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etter
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d
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e
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r
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th
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e.
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h
e
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m
o
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el
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ize
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(
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d
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eg
r
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h
e
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lts
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ize
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est
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lt,
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at
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r
ar
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p
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tag
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o
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clo
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d
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d
h
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ar
is
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d
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d
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az
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o
r
3
y
ea
r
s
(
2
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,
an
d
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7
)
f
o
r
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g
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w
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ize
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d
0
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0
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d
eg
r
ee
s
,
w
er
e
6
8
.
2
%,
7
8
.
8
%,
an
d
8
6
.
4
%,
r
esp
ec
tiv
el
y
.
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h
is
r
ef
lecte
d
t
h
e
q
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a
lit
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o
f
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w
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ic
h
m
ea
n
s
t
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e
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m
aller
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e
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ize,
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e
h
ig
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er
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h
e
p
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tag
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clea
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ar
ea
,
t
h
e
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ig
h
er
th
e
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alit
y
o
f
t
h
e
r
es
u
lti
n
g
m
o
s
a
ic
i
m
a
g
e.
ACK
NO
WL
E
D
G
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M
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NT
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W
e
w
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e
g
r
atef
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l
to
t
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Mi
n
is
tr
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o
f
R
e
s
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ch
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T
ec
h
n
o
lo
g
y
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a
n
d
Hi
g
h
er
E
d
u
ca
tio
n
f
o
r
f
u
n
d
i
n
g
s
u
p
p
o
r
ts
,
P
u
s
tek
d
ata
L
A
P
AN
an
d
th
e
Fac
u
lt
y
o
f
Geo
g
r
ap
h
y
Gad
j
ah
Ma
d
a
Un
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e
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s
it
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f
o
r
s
cien
tific
co
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s
u
ltatio
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s
,
s
u
p
p
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an
d
e
n
c
o
u
r
ag
e
m
en
t
s
,
a
n
d
p
r
o
v
id
in
g
d
ata
an
d
i
m
ag
e
p
r
o
ce
s
s
in
g
f
ac
ilit
ies.
An
d
w
e
also
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