I
nd
o
ne
s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
p
u
t
er
Science
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
202
1
,
p
p
.
846
~
853
I
SS
N:
2
5
02
-
4
7
5
2
,
DOI
: 1
0
.
1
1
5
9
1
/i
j
ee
cs.v
2
1
.i
2
.
pp
846
-
8
5
3
846
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ee
cs.ia
esco
r
e.
co
m
Ca
tego
riz
i
ng
and
m
ea
sure
m
e
nt
sa
tellit
e i
m
a
g
e p
ro
ce
ss
ing
of f
ire
in t
he
f
o
rest
greec
e using
re
m
o
te
se
nsing
Ali A
bd
ul
w
a
hh
a
b M
o
ha
m
med
1
,
H
us
s
ein
T
ha
ry
K
ha
m
ee
s
2
1
De
p
a
rtme
n
t
o
f
Re
m
o
te S
e
n
sin
g
,
Co
ll
e
g
e
o
f
Re
m
o
te S
e
n
sin
g
a
n
d
G
e
o
p
h
y
sic
s
,
A
l
-
K
a
rk
h
Un
iv
e
rsit
y
o
f
S
c
i
e
n
c
e
,
Ba
g
h
d
a
d
,
Ira
q
2
De
p
a
rtme
n
t
o
f
L
a
s
e
r
a
n
d
Op
t
o
e
lec
tro
n
ic E
n
g
i
n
e
e
rin
g
,
Co
ll
e
g
e
o
f
En
g
in
e
e
rin
g
,
A
l
-
Na
h
ra
in
Un
iv
e
rsity
,
Ba
g
h
d
a
d
,
Ira
q
,
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Au
g
2
1
,
2
0
2
0
R
ev
i
s
ed
Oct
9
,
2
0
2
0
A
cc
ep
ted
Oct
2
3
,
2
0
2
0
in
t
h
is
p
a
p
e
r,
a
p
o
lar
-
o
rb
it
in
g
s
a
telli
te
h
a
s
b
e
e
n
u
se
d
c
a
ll
e
d
S
e
n
ti
n
e
l
-
2
A
im
a
g
e
r
y
,
m
u
lt
isp
e
c
tral
h
ig
h
-
re
so
lu
ti
o
n
to
c
o
v
e
r
A
th
e
n
s
c
it
y
,
Gre
e
c
e
th
a
t
lo
c
a
ted
a
t
latit
u
d
e
(
3
7
°
5
8
′
4
6
″
)
N,
(2
3
°
4
2
′
5
8
″
)
E.,
th
e
w
o
rk
a
i
m
s
to
m
e
a
su
re
m
e
n
t
a
n
d
stu
d
y
th
e
w
il
d
f
ires
n
a
tu
ra
l
re
so
u
rc
e
sb
e
f
o
re
a
n
d
a
f
ter
f
ire
b
re
a
k
o
u
t
t
h
a
t
h
a
p
p
e
n
e
d
i
n
f
o
re
sts
o
f
A
th
e
n
s
c
it
y
in
G
re
e
c
e
f
o
r
a
y
e
a
r
(2
0
0
7
,
2
0
1
8
)
a
n
d
a
n
a
ly
sis
th
e
d
a
m
a
g
e
c
a
u
se
d
b
y
th
e
se
w
il
d
f
ir
e
sa
n
d
th
e
ir
i
m
p
a
c
t
o
n
e
n
v
iro
n
m
e
n
t
a
n
d
so
i
l
b
y
Ca
teg
o
rize
th
e
sa
telli
te
im
a
g
e
s
f
o
r
th
e
in
tere
ste
d
re
g
io
n
b
e
f
o
re
a
n
d
a
f
ter w
il
d
f
ires
fo
r
a
y
e
a
r
s
(2
0
0
7
,
2
0
1
8
re
sp
e
c
ti
v
e
ly
)
a
n
d
th
e
re
g
io
n
c
o
v
e
re
d
o
f
e
v
e
r
y
c
la
ss
h
a
s
b
e
e
n
c
a
lcu
late
d
a
n
d
d
is
c
u
ss
th
e
ir
tec
h
n
iq
u
e
s
a
n
d
les
se
n
o
r
li
m
it
th
e
ra
p
id
ly
sp
re
a
d
in
g
w
il
d
f
ires
d
a
m
a
g
e
.
T
h
e
c
a
teg
o
rizin
g
u
ti
li
z
in
g
th
e
m
o
m
e
n
t
s w
i
th
(
K
-
M
e
a
n
s
)
g
ro
u
p
i
n
g
a
lg
o
rit
h
m
in
RS
(
re
m
o
te
se
n
sin
g
).
A
n
d
t
h
e
c
a
te
g
o
rizin
g
re
su
lt
s
sh
o
w
f
iv
e
u
n
iq
u
e
c
las
se
s
(w
a
t
e
r,
tree
s,
b
u
il
d
in
g
s
w
it
h
o
u
t
tr
e
e
,
b
u
il
d
i
n
g
s
w
it
h
tree
,
b
a
re
lan
d
s)
w
h
e
re
,
it
c
a
n
b
e
o
b
se
rv
e
d
th
a
t
th
e
a
re
a
c
o
v
e
re
d
b
y
e
v
e
r
y
c
las
s
b
e
f
o
re
a
n
d
a
f
ter
w
il
d
f
ire
s
a
n
d
th
e
c
h
a
n
g
e
d
p
ix
e
ls
f
o
r
a
ll
c
la
ss
e
s.
T
h
e
tri
a
l
re
su
lt
s
o
f
c
a
teg
o
rizin
g
m
e
c
h
a
n
is
m
p
re
se
n
ts
th
a
t
th
e
p
e
rf
e
c
t
p
e
rf
o
r
m
a
n
c
e
a
c
c
u
ra
c
y
w
it
h
a
p
re
tt
y
c
a
te
g
o
rizin
g
a
n
d
re
su
lt
a
n
a
ly
sisa
b
o
u
t
th
e
h
a
rm
s
re
su
lt
e
d
f
ro
m
th
e
f
ires
in
th
e
f
o
re
st G
re
e
c
e
f
o
r
a
y
e
a
rs (2
0
0
7
a
n
d
2
0
1
8
)
.
K
ey
w
o
r
d
s
:
C
ateg
o
r
izi
n
g
i
m
a
g
e
Fire
s
Mo
m
en
t
f
ea
t
u
r
e
R
e
m
o
te
s
e
n
s
in
g
Sen
ti
n
el
-
2A
T
h
is
is
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
A
li
A
b
d
u
l
w
a
h
h
ab
Mo
h
a
m
m
ed
Dep
ar
t
m
en
t o
f
R
e
m
o
te
Se
n
s
i
n
g
,
C
o
lle
g
e
o
f
R
e
m
o
te
Se
n
s
i
n
g
an
d
Geo
p
h
y
s
ics
Al
-
Kar
k
h
U
n
i
v
er
s
it
y
o
f
Sc
ien
ce
Al
-
Kar
k
h
Sid
e,
Haif
a
St.
Ha
m
ad
a
,
B
ag
h
d
ad
,
I
r
a
q
E
m
ail:
ali_
ab
d
u
l
w
a
h
h
ab
@
k
u
s
.
ed
u
.
iq
1.
I
NT
RO
D
UCT
I
O
N
R
e
m
o
te
s
e
n
s
in
g
tech
n
o
lo
g
y
h
as
b
ee
n
u
tili
ze
d
d
u
r
i
n
g
t
h
e
la
s
t
f
e
w
d
ec
ad
es
to
s
tu
d
y
la
n
d
co
v
er
an
d
ea
r
th
o
b
s
er
v
atio
n
to
s
u
r
v
e
y
t
h
e
d
is
tr
ib
u
tio
n
q
u
an
t
it
y
o
f
n
a
tu
r
al
p
lan
et
r
eso
u
r
ce
s
.
R
e
m
o
t
e
Sen
s
i
n
g
h
as
b
ee
n
d
ev
elo
p
ed
in
s
p
ec
tr
al,
s
p
atial
a
n
d
te
m
p
o
r
al
r
eso
l
u
tio
n
to
u
ti
lize
s
atel
lite
i
m
a
g
es
f
o
r
c
h
o
o
s
in
g
ar
ea
,
m
ap
p
in
g
,
u
n
d
er
s
ta
n
d
in
g
,
e
v
alu
at
io
n
,
ac
c
u
r
ac
y
co
m
p
u
tatio
n
o
f
i
m
ag
e
a
n
d
er
r
o
r
m
o
d
u
latio
n
[
1
,
2
]
.
I
m
ag
e
ca
teg
o
r
izi
n
g
i
s
o
n
e
o
f
a
d
ec
en
t
s
tr
ate
g
y
i
n
d
i
g
ital
i
m
a
g
e
p
r
ep
ar
in
g
f
o
r
la
n
d
-
co
v
er
i
n
f
o
r
m
atio
n
ab
s
tr
ac
ti
o
n
an
d
u
ti
lizi
n
g
th
e
d
ata
h
o
ld
s
in
r
e
m
o
tel
y
s
e
n
s
ed
p
ictu
r
es.
W
h
er
ev
er
,
t
h
e
clas
s
es
ar
e
r
ec
o
g
n
ized
to
a
ch
ar
ac
t
er
ized
to
p
ical
class
(
w
ater
,
tr
ee
s
,
b
u
ild
in
g
w
it
h
o
u
t
tr
ee
s
,
b
u
ild
in
g
s
w
it
h
tr
ee
s
,
an
d
b
ar
e
lan
d
s
)
[
3
-
5
]
.
Satellite
im
ag
e
ca
te
g
o
r
izin
g
is
b
r
o
ad
ly
u
til
ized
f
o
r
ex
tr
ac
ti
n
g
th
e
s
p
ec
tr
al
h
i
g
h
li
g
h
t
s
f
r
o
m
s
ate
llit
e
i
m
a
g
es
a
n
d
an
al
y
z
e
lan
d
-
co
v
er
m
ap
o
f
th
e
ar
ea
s
elec
ted
[
6
-
8
]
.
W
h
er
e,
th
e
ca
te
g
o
r
izin
g
tec
h
n
i
q
u
es
ca
n
b
e
d
e
f
in
ed
a
s
t
wo
s
ig
n
i
f
ica
n
t
t
y
p
es:
u
n
s
u
p
er
v
is
ed
an
d
s
u
p
er
v
is
ed
ca
teg
o
r
izi
ng
[
9
,
1
0
]
.
T
h
e
s
tu
d
y
p
ick
ed
f
o
r
r
esear
ch
is
f
r
o
n
t
o
f
th
e
zo
n
e
o
f
A
t
h
e
n
s
to
w
n
in
Gr
ee
ce
ta
k
en
b
y
(
Se
n
ti
n
el
-
2
(
Op
tical)
)
b
y
a
r
eso
lu
tio
n
1
0
m
e
ter
s
S
h
o
w
n
i
n
th
e
Fi
g
u
r
e
1.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sc
i
I
SS
N:
2502
-
4752
C
a
teg
o
r
iz
in
g
a
n
d
mea
s
u
r
eme
n
t sa
tellite im
a
g
e
p
r
o
ce
s
s
in
g
o
f fir
e
in
th
e
…
(
A
li A
b
d
u
lw
a
h
h
a
b
Mo
h
a
mme
d
)
847
Fig
u
r
e
1
.
P
o
s
itio
n
o
f
s
t
u
d
y
ar
ea
in
A
th
e
n
s
cit
y
(
Gr
ee
ce
)
A
c
t
u
a
l
l
y
,
t
h
e
r
e
a
r
e
s
e
v
e
r
a
l
j
o
b
s
t
h
a
t
h
a
v
e
r
e
l
a
t
e
d
w
i
t
h
s
a
t
e
l
l
i
t
e
i
m
a
g
e
s
a
n
d
t
e
a
c
h
t
h
e
p
e
r
s
p
i
c
a
c
i
t
y
a
n
d
g
a
t
h
e
r
t
h
e
b
e
n
e
f
i
t
o
f
t
h
e
a
c
h
i
e
v
e
m
e
n
t
t
h
e
h
u
g
e
d
a
t
a
[
1
1
-
1
3
]
.
T
h
i
s
d
a
t
a
i
s
u
t
i
l
i
z
e
d
t
o
p
r
e
d
i
c
t
c
o
m
i
n
g
e
n
v
i
r
o
n
m
e
n
t
a
l
d
i
s
a
s
t
e
r
s
o
r
m
o
d
i
f
i
e
s
i
n
c
l
i
m
a
t
i
c
s
i
t
u
a
t
i
o
n
a
n
d
n
u
m
e
r
o
u
s
d
i
f
f
e
r
e
n
t
p
o
s
s
e
s
s
i
o
n
s
i
n
n
u
m
e
r
o
u
s
e
v
e
r
y
d
a
y
m
a
t
t
e
r
s
.
N
o
w
a
r
e
a
p
o
r
t
i
o
n
o
f
t
h
e
t
h
e
w
h
o
l
e
t
h
i
n
g
t
h
a
t
h
a
v
e
b
e
e
n
r
e
s
e
a
r
c
h
e
d
a
n
d
c
o
n
s
i
d
e
r
e
d
i
n
t
h
i
s
s
c
o
p
e
.
I
n
[
1
4
-
1
6
]
,
d
e
s
c
r
i
b
e
t
h
e
s
c
o
p
e
h
a
r
m
s
a
n
d
d
a
n
g
e
r
s
i
n
t
u
r
k
e
y
e
s
p
e
c
i
a
l
l
y
t
h
r
o
u
g
h
A
e
g
e
a
n
a
n
d
M
e
d
i
t
e
r
r
a
n
e
a
n
a
r
e
a
s
c
a
u
s
e
d
b
y
t
h
e
f
i
r
e
s
o
f
F
o
r
e
s
t
.
N
u
m
e
r
o
u
s
d
i
g
i
t
a
l
i
m
a
g
e
p
r
o
c
e
s
s
i
n
g
m
e
t
h
o
d
s
u
t
l
i
z
e
d
t
o
s
t
u
d
y
t
h
e
w
i
l
d
f
i
r
e
c
a
t
e
g
o
r
i
z
i
n
g
a
n
d
c
o
m
p
u
t
e
t
h
e
w
i
l
d
f
i
r
e
i
n
f
l
u
e
n
c
e
d
o
n
t
h
e
b
u
r
n
e
d
a
r
e
a
s
.
I
n
[
1
7
,
1
8
]
,
s
h
o
w
n
t
h
e
o
b
j
e
c
t
o
f
c
a
t
e
g
o
r
i
z
a
t
i
o
n
t
h
a
t
a
r
e
b
a
s
e
d
o
n
d
e
v
e
l
o
p
c
a
t
e
g
o
r
i
z
a
t
i
o
n
p
r
o
c
e
e
d
i
n
g
s
f
o
r
t
h
e
m
a
p
o
f
b
u
r
n
i
n
g
a
r
e
a
a
n
d
a
s
e
r
i
e
s
d
a
m
a
g
e
s
o
f
f
i
r
e
s
t
h
a
t
h
a
p
p
e
n
e
d
t
h
r
o
u
g
h
o
u
t
o
f
t
h
e
s
u
m
m
e
r
s
(
2
0
0
7
a
n
d
2
0
0
9
)
i
n
C
o
u
n
t
r
y
G
r
e
e
c
e
,
b
y
p
r
o
v
i
d
i
n
g
p
o
u
r
a
s
y
s
t
e
m
"
l
’
O
b
s
e
r
v
a
t
i
o
n
d
e
l
a
T
e
r
r
e
(
S
P
O
T
)
-
4
H
R
V
I
R
i
m
a
g
e
s
"
.
I
n
[
1
9
-
2
1
]
,
s
t
a
t
e
a
c
a
t
e
g
o
r
i
z
e
o
f
s
a
t
e
l
l
i
t
e
i
m
ag
e
e
n
v
i
r
o
n
m
e
n
t
u
t
i
l
i
z
i
n
g
a
c
r
e
a
t
i
v
e
t
e
c
h
n
i
q
u
e
c
a
l
l
e
d
r
e
f
l
e
c
t
i
o
n
b
a
s
e
d
o
n
p
h
e
n
o
l
o
g
y
m
e
t
h
o
d
(
R
B
P
M
)
.
A
n
y
w
h
e
r
e
,
t
h
e
d
a
t
a
s
e
t
s
o
f
t
h
e
l
a
n
d
s
a
t
8
h
a
s
w
a
s
u
t
i
l
i
z
e
d
t
h
a
t
s
a
v
e
i
m
a
g
e
r
y
i
n
m
u
l
t
i
s
p
e
c
t
r
a
l
.
T
h
e
s
o
u
r
c
e
o
f
t
h
e
r
e
f
l
e
c
t
i
o
n
o
f
b
a
n
d
v
a
l
u
e
s
i
s
u
t
i
l
i
z
e
d
i
n
t
h
e
c
a
t
e
g
o
r
i
z
i
n
g
p
r
o
c
e
s
s
.
T
h
e
c
a
t
e
g
o
r
i
z
i
n
g
a
c
c
u
r
a
c
y
o
f
t
h
e
P
R
B
M
m
e
t
h
o
d
u
t
i
l
i
z
e
d
o
v
e
r
a
l
l
a
c
c
u
r
a
c
y
,
c
o
n
f
u
s
e
d
m
a
t
r
i
x
,
a
n
d
k
a
p
p
a
c
o
e
f
f
i
c
i
e
n
t
a
s
a
q
u
a
l
i
t
y
m
e
a
s
u
r
e
m
e
n
t
.
I
n
[
2
2
,
2
3
]
,
S
t
a
t
e
a
c
a
t
e
g
o
r
i
z
i
n
g
t
e
c
h
n
i
q
u
e
u
s
e
d
t
o
d
i
s
c
o
v
e
r
t
h
e
c
l
a
s
s
e
s
o
f
l
a
n
d
c
o
v
e
r
i
n
s
a
t
e
l
l
i
t
e
i
m
a
g
e
s
.
I
n
t
h
i
s
w
o
r
k
,
t
h
e
c
a
t
e
g
o
r
i
z
i
n
g
t
e
c
h
n
i
q
u
e
s
t
h
a
t
u
t
i
l
i
z
e
d
a
r
e
s
u
p
e
r
v
i
s
e
d
c
a
t
e
g
o
r
i
z
i
n
g
,
u
n
s
u
p
e
r
v
i
s
e
d
c
a
t
e
g
o
r
i
z
i
n
g
a
n
d
O
b
j
e
c
t
-
o
r
i
e
n
t
e
d
c
a
t
e
g
o
r
i
z
i
n
g
.
T
h
e
m
o
m
e
n
t
f
e
a
t
u
r
e
c
l
u
s
t
e
r
i
n
g
t
e
c
h
n
i
q
u
e
i
s
u
t
i
l
i
z
e
d
i
n
t
h
i
s
p
a
p
e
r
a
s
u
n
s
u
p
e
r
v
i
s
e
d
c
a
t
e
g
o
r
i
z
i
n
g
f
o
r
t
h
e
A
t
h
e
n
s
c
i
t
y
r
e
g
i
o
n
i
n
G
r
e
e
c
e
t
o
c
a
t
e
g
o
r
i
z
e
t
h
e
f
i
r
e
s
,
s
e
r
i
o
u
s
d
a
m
a
g
e
s
a
n
d
t
h
r
e
a
t
s
t
h
a
t
h
a
p
p
e
n
i
n
t
h
a
t
a
r
e
a
.
T
h
e
r
e
s
t
s
e
c
t
i
o
n
s
o
f
p
a
p
e
r
a
r
e
a
s
f
o
l
l
o
w
s
:
i
n
S
e
c
t
i
o
n
2
i
l
l
u
s
t
r
a
t
e
s
t
h
e
p
r
o
b
l
e
m
s
t
a
t
e
m
e
n
t
.
S
e
c
t
i
o
n
3
i
l
l
u
s
t
r
a
t
e
s
a
n
d
w
e
p
r
o
p
o
s
e
d
s
y
s
t
e
m
d
i
a
g
r
a
m
a
b
o
u
t
i
m
a
g
e
c
a
t
e
g
o
r
i
z
i
n
g
t
e
c
h
n
i
q
u
e
s
.
A
S
e
c
t
i
o
n
4
d
e
s
c
r
i
b
e
s
t
h
e
e
x
p
e
r
i
m
e
n
t
a
l
r
e
s
u
l
t
s
a
n
d
a
n
a
l
y
s
i
s
o
f
r
e
s
u
l
t
s
.
F
i
n
a
l
l
y
,
w
e
h
a
v
e
g
i
v
e
n
i
n
S
e
c
t
i
o
n
5
t
h
e
c
o
n
c
l
u
s
i
o
n
s
w
i
t
h
f
u
t
u
r
e
s
u
g
g
e
s
t
i
o
n
s
.
2.
P
RO
B
L
E
M
ST
AT
E
M
E
NT
T
h
e
g
r
ea
test
s
ig
n
i
f
ica
n
t
f
ac
t
o
r
s
o
f
ap
p
l
y
i
n
g
th
e
r
eg
io
n
o
f
Ath
e
n
s
d
o
w
n
to
w
n
in
Gr
ee
ce
ar
e
th
e
w
ild
f
ir
es
ca
u
s
in
g
i
m
m
e
n
s
e
h
a
r
m
s
i
n
t
h
i
s
ar
ea
an
d
h
a
v
in
g
(
f
i
v
e
t
y
p
e
s
o
f
lan
d
co
v
er
clas
s
es
)
an
d
b
ein
g
ap
p
lied
as
f
u
n
d
i
n
g
f
o
r
r
ec
o
g
n
ize.
T
h
ese
k
in
d
s
o
f
clas
s
es
ar
e
a
g
r
icu
l
tu
r
al
ar
ea
B
u
ild
i
n
g
s
W
ith
o
u
t
tr
ee
s
,
r
iv
er
s
,
Ag
r
icu
ltu
r
al
r
eg
io
n
.
B
u
ild
in
g
s
w
it
h
tr
ee
s
,
an
d
b
ar
e
lan
d
s
,
w
h
er
e
,
th
e
ar
ea
s
in
w
h
ic
h
f
ir
es
h
ap
p
en
ar
e
d
eter
m
in
ed
b
y
u
ti
lizi
n
g
tec
h
n
iq
u
es
to
ca
teg
o
r
ize
it
an
d
d
is
cu
s
s
th
e
i
m
p
ac
t
o
f
f
ir
es
o
n
ea
ch
ar
ea
co
v
er
ed
b
y
ea
ch
clas
s
.
Satellite
i
m
a
g
e
o
f
th
at
ar
ea
w
as
ta
k
en
b
y
(
Sen
tin
el
-
2
Op
tical)
w
it
h
r
eso
lu
ti
o
n
1
0
m
eter
s
.
T
h
e
ca
teg
o
r
ized
i
m
ag
e
s
b
ef
o
r
e
an
d
af
ter
th
e
f
ir
e
ar
e
an
al
y
s
t
an
d
s
tu
d
ied
to
ca
lcu
late
t
h
e
a
m
o
u
n
t
o
f
d
a
m
a
g
ed
b
u
ild
in
g
s
h
ap
p
en
i
n
g
a
n
d
f
ir
es,
in
th
e
f
o
r
ests
o
f
Gr
ee
ce
b
et
w
e
en
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
.
3.
P
RO
P
O
SE
D
SYS
T
E
M
DIAG
RAM
T
h
e
f
ea
tu
r
es
o
f
th
e
s
i
m
ilar
d
is
tr
icts
i
n
p
ictu
r
ec
an
b
e
c
ateg
o
r
ized
b
y
u
s
i
n
g
th
e
e
l
e
m
en
ts
o
f
ap
p
ar
en
t
u
n
d
er
s
ta
n
d
in
g
.
T
h
e
ca
teg
o
r
izin
g
tec
h
n
iq
u
e
ca
n
b
e
u
n
s
u
p
er
v
is
ed
o
r
s
u
p
er
v
is
ed
cl
ass
i
f
icatio
n
s
to
b
e
a
w
a
y
i
n
to
a
clea
r
cla
s
s
b
ased
o
n
t
h
e
n
u
m
b
er
o
f
ec
tr
ac
ted
f
ea
tu
r
es
a
n
d
ac
k
n
o
w
led
g
ed
w
it
h
t
h
at
i
m
a
g
e
ap
p
ar
en
t
[
2
2
]
.
T
h
e
s
atellite
i
m
ag
e
co
n
t
ain
s
m
a
n
y
p
r
o
p
er
ties
f
o
r
ex
a
m
p
le;
ca
s
i
n
g
o
f
r
e
m
o
te
s
e
n
s
f
o
r
s
p
ec
tr
al
ar
ea
,
an
d
ev
er
y
o
n
e
o
f
h
i
g
h
lig
h
t
s
p
r
o
p
e
r
ties
ex
i
s
ts
i
n
s
ep
ar
ate
class
[
2
4
].
I
n
s
u
p
er
v
is
i
n
g
ca
te
g
o
r
izatio
n
;
th
e
cla
s
s
e
s
ar
e
d
em
o
n
s
tr
ated
b
y
g
i
v
i
n
g
a
g
r
o
u
p
s
a
m
p
le
o
f
a
n
al
y
s
ed
i
n
f
o
r
m
atio
n
to
t
h
e
ad
m
i
n
i
s
ter
[
1
7
]
.
T
h
e
b
ased
m
o
m
e
n
ts
o
f
K
-
m
ea
n
s
al
g
o
r
ith
m
is
e
m
p
l
o
y
ed
to
ex
tr
icate
w
h
o
ll
y
f
ea
t
u
r
es
an
d
ca
teg
o
r
ize
i
m
a
g
e
an
d
th
e
Fi
g
u
r
e
2
s
h
o
w
s
i
m
p
r
ess
io
n
s
o
f
t
h
e
p
r
o
p
o
s
ed
th
e
m
eth
o
d
f
o
r
ca
teg
o
r
izi
n
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2021
:
8
4
6
-
8
5
3
848
Fig
u
r
e
2
.
B
lo
ck
d
iag
r
a
m
o
f
tec
h
n
iq
u
esate
llit
e
ca
te
g
o
r
izin
g
3
.
1
.
I
np
ut
s
a
t
ellit
e
i
m
a
g
es
T
h
e
in
p
u
t
i
m
a
g
e
is
s
atellite
i
m
ag
er
y
ta
k
en
b
y
(
Se
n
ti
n
el
-
2
A
)
s
a
tellite
co
v
er
ed
A
t
h
e
n
s
d
o
w
n
to
w
n
,
Gr
ee
ce
th
at
s
itu
a
ted
a
t
s
co
p
e
3
7
°
5
8
′
4
6
″
N,
2
3
°
4
2
′
5
8
″
E
w
it
h
t
h
e
m
u
lti
s
p
ec
tr
al
h
ig
h
-
r
e
s
o
lu
tio
n
.
T
h
e
Gr
ee
ce
i
m
a
g
e
w
as
ca
u
g
h
t
b
y
(
Sen
t
i
n
el
-
2
Op
tical)
w
it
h
r
eso
l
u
tio
n
1
0
m
eter
s
.
I
t
co
v
er
s
t
h
e
w
ild
f
ir
es
(
n
at
u
r
al
r
eso
u
r
ce
s
)
b
ef
o
r
e
a
n
d
a
f
ter
f
ir
e
b
r
ea
k
o
u
t
t
h
at
h
ap
p
en
ed
i
n
f
o
r
ests
f
o
r
b
e
t
w
ee
n
y
ea
r
s
(
2
0
0
7
,
2
0
1
8
)
.
T
ab
le
1
p
r
esen
ts
t
h
e
in
f
o
r
m
atio
n
tec
h
n
i
ca
l
o
f
o
r
ig
in
al
i
m
ag
e
a
n
d
th
e
o
r
ig
in
a
l
s
atellite
i
m
a
g
e
o
f
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
th
e
f
ir
e
b
et
w
ee
n
y
ea
r
s
(
2
0
0
7
,
2
0
1
8
)
ar
e
p
r
esen
ted
In
th
e
F
ig
u
r
e
s
3
an
d
4
r
esp
ec
tiv
el
y
.
T
ab
le
1
.
Data
ab
o
u
t o
f
I
n
p
u
t
i
m
ag
e
“
P
r
o
d
u
c
t
”
“
S
a
t
e
l
l
i
t
e
/
S
e
n
so
r
”
“
R
e
so
l
u
t
i
o
n
”
“A
c
q
u
i
r
e
d
D
a
t
e
”
“
B
a
n
d
C
o
mb
i
n
a
t
i
o
n
”
G
e
o
T
i
f
f
f
o
r
mat
S
e
n
t
i
n
e
l
-
2
(
O
p
t
i
c
a
l
)
1
0
me
t
e
r
s
2
0
Ju
l
y
2
0
1
8
&
3
0
J
u
l
y
2
0
1
8
4
,
3
,
2
(
R
-
G
-
B
)
V
i
si
b
l
e
c
o
l
o
r
&
8
,
4
,
2
(
R
-
G
-
B
)
F
a
l
se
c
o
l
o
r
l
a
y
e
r
s
(
a)
Ma
ti
-
Gr
ee
ce
-
b
ef
o
r
e
Fire
s
(
b
)
Ma
ti
-
Gr
ee
ce
-
af
ter
Fire
s
(
a)
Ma
ti
-
Gr
ee
ce
-
b
ef
o
r
e
Fire
s
(
b
)
Ma
ti
-
Gr
ee
ce
-
af
ter
Fire
s
Fig
u
r
e
3
.
T
h
e
im
a
g
es r
ep
r
esen
t M
ati
-
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
W
ild
f
ir
es
f
o
r
a
y
ea
r
2
0
0
7
Fig
u
r
e
4
.
T
h
e
im
a
g
es r
ep
r
esen
t M
ati
-
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
W
i
ld
f
ir
es
f
o
r
a
y
ea
r
2
0
1
8
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sc
i
I
SS
N:
2502
-
4752
C
a
teg
o
r
iz
in
g
a
n
d
mea
s
u
r
eme
n
t sa
tellite im
a
g
e
p
r
o
ce
s
s
in
g
o
f fir
e
in
th
e
…
(
A
li A
b
d
u
lw
a
h
h
a
b
Mo
h
a
mme
d
)
8
49
3
.
2
.
I
m
a
g
e
enha
nce
m
ent
a
n
d
s
eg
m
ent
a
t
io
n
I
n
th
is
p
ap
er
is
s
h
o
w
n
u
p
g
r
ad
e
f
o
r
ap
p
ea
r
ativ
e
v
i
s
u
a
l
to
th
e
i
m
a
g
e
b
y
u
til
izin
g
p
r
ep
r
o
ce
s
s
in
g
.
T
h
i
s
s
tag
e
is
r
elied
u
p
o
n
f
o
c
u
s
o
n
e
v
er
y
p
ix
el
w
i
th
o
u
t
e
f
f
ec
ti
n
g
o
f
t
h
e
co
r
r
elatio
n
co
n
ti
g
u
o
u
s
p
i
x
el
s
a
n
d
f
o
r
i
m
p
r
o
v
es
t
h
e
r
ec
o
g
n
izin
g
b
et
w
ee
n
th
e
i
m
a
g
e
h
i
g
h
li
g
h
t
s
ap
p
lies
th
e
f
o
llo
w
i
n
g
co
n
n
e
ctio
n
o
n
th
e
i
m
a
g
e
[
1
9
]
:
A
e
(q
,
z
)=
ro
u
n
d
[
(A
o
(q
,
z
)
–
H)/(H
-
L
)
*
2
5
5
]
(1
)
W
h
er
e,
A
e
(
q
,
z
)
r
ef
er
s
to
th
e
n
e
w
i
m
ag
e
u
p
g
r
ad
ed
,
A
o
(
q
,
z
)
r
ep
r
esen
ts
to
th
e
(
i
n
p
u
t
i
m
a
g
e)
,
an
d
q
,
z
is
all
u
d
in
g
to
t
h
e
f
iles
o
f
t
h
e
p
ix
el
i
n
t
h
e
i
m
a
g
e.
Hall
u
d
esto
th
e
u
p
p
er
(
1
%)
f
o
r
p
ix
els
e
s
t
i
m
atio
n
s
o
f
(
in
p
u
t
i
m
a
g
e)
an
d
L
a
llu
d
e
s
to
th
e
b
o
tto
m
(
1
%)
o
f
p
i
x
els es
ti
m
a
tio
n
s
o
f
(
in
p
u
t i
m
a
g
e)
[
2
5
-
2
7
]
.
T
h
e
d
iv
is
io
n
o
f
th
e
i
m
a
g
e
ca
n
b
e
d
ef
in
ed
as
a
p
r
o
ce
s
s
to
d
iv
id
in
g
it
in
to
o
f
th
e
b
lo
ck
s
q
u
ar
es
o
f
r
eg
u
lar
s
ize.
A
n
d
w
e
f
i
n
d
p
r
o
ce
s
s
is
n
'
t
co
n
ce
r
n
ed
d
u
r
i
n
g
th
e
s
p
ec
tr
al
s
ca
tter
i
n
g
o
f
i
m
ag
e
,
it
ar
e
s
i
m
p
l
y
p
ar
titi
o
n
g
eo
m
etr
ical.
I
n
t
h
is
w
o
r
k
,
th
e
s
ize
o
f
e
v
er
y
b
lo
ck
s
q
u
ar
e
is
(
4
×4
)
,
w
h
er
e,
it
r
eli
es
at
t
h
e
m
ea
s
u
r
e
o
f
th
e
i
m
a
g
e
s
p
atial
r
eso
lu
t
io
n
.
W
h
er
e;
th
e
lo
w
er
i
m
a
g
e
r
eso
lu
tio
n
ar
e
is
o
lated
to
s
q
u
ar
ed
n
u
m
b
er
les
s
th
a
n
h
ig
h
er
i
m
ag
e
r
eso
l
u
tio
n
.
I
n
o
r
d
er
to
ad
o
p
tesu
itab
led
ata
is
ch
ec
k
ed
in
ev
er
y
t
h
esq
u
ar
e
b
lo
ck
.
3
.
3
.
F
e
a
t
ure
ex
t
ra
ct
T
h
e
m
o
m
e
n
ts
ca
n
b
e
u
ti
lized
t
o
d
if
f
er
e
n
tiate
i
m
a
g
es
as
e
s
ti
m
atio
n
t
h
at
d
ep
en
d
en
t
o
n
t
h
ei
r
h
ig
h
li
g
h
t
s
o
f
co
lo
r
[
2
3
]
.
T
h
e
f
ea
t
u
r
es
o
f
m
o
m
e
n
t
ca
n
b
e
d
escr
ib
ed
as
a
p
ar
ticu
lar
o
f
n
u
m
er
icalq
u
a
n
tit
y
t
h
at
u
tlized
to
ex
tr
ac
t
d
ata
s
et
in
t
h
eb
lo
ck
o
f
i
m
ag
e.
W
h
er
e,
th
e
m
a
s
s
all
u
d
es
to
a
s
et
d
is
tr
ib
u
tio
n
o
f
(
p
ix
els),
th
e
(
f
ir
s
t
-
o
r
d
er
e
d
m
o
m
en
t)
to
g
iv
e
n
i
n
(
2
)
is
u
tili
ze
d
to
ex
tr
ac
t th
e
m
o
m
en
t f
ea
t
u
r
es.
(2
)
W
h
er
e
in
(
2
)
,
th
e
(
ap
p
lied
f
o
r
ce
(
F
P
)),
ca
n
b
e
r
ep
r
esen
t
a
s
t
h
e
(
p
ix
el
o
f
b
lo
ck
)
an
d
t
h
e
d
is
tan
ce
ca
n
b
e
r
ef
er
to
r
f
r
o
m
th
e
ce
n
ter
o
f
b
lo
ck
to
t
h
e
(
ap
p
lied
f
o
r
ce
(
F
P
)
)
.
1)
d
eter
m
in
ed
t
h
e
(
d
is
ta
n
ce
(
d
s
))
th
at
m
ea
n
(
b
et
w
ee
n
ea
c
h
t
h
e
(
p
ix
el
i
n
s
p
ec
i
f
i
c
s
q
u
ar
e)
an
d
o
f
th
e
ce
n
ter
o
f
s
q
u
ar
e)
an
d
d
ep
en
d
s
o
n
th
e
p
o
s
itio
n
o
f
p
ix
e
l b
y
u
t
ilized
o
f
th
e
f
o
llo
w
in
g
p
r
o
ce
d
u
r
e:
a)
T
h
e
1
'
s
q
u
ar
ter
th
e
d
is
ta
n
ce
(d
s1)
is
ca
lcu
la
ted
b
y
u
til
ized
th
e
eq
u
atio
n
:
d
s1
=
√
(
|
|
)
(
|
|
)
(
3
)
b)
T
h
e2
'
s
q
u
ar
ter
th
e
d
is
ta
n
ce
(d
s2
)
is
co
m
p
u
ted
u
ti
lized
th
e
f
o
l
lo
w
i
n
g
eq
u
atio
n
:
d
s2
=
√
(
|
|
)
(
|
|
)
(
4
)
c)
T
h
e
3
'
s
q
u
ar
ter
th
e
d
is
ta
n
ce
(
d
s3
)
is
co
m
p
u
ted
b
y
u
ti
lized
th
e
eq
u
atio
n
:
d
s3
=
√
(
|
|
)
(
|
|
)
(
5
)
d)
Fin
all
y
,
t
h
is
eq
u
a
tio
n
is
t
h
e4
'
s
q
u
ar
ter
th
e
d
is
tan
ce
(
d
s4
)
,
ca
n
b
e
co
m
p
u
ted
b
y
t
h
e
f
o
llo
w
in
g
eq
u
atio
n
:
d
s4
=
√
(
|
|
)
(
|
|
)
(6
)
W
h
er
e
,
x
,
y
ar
e
in
d
ices o
f
p
i
x
e
l in
a
s
q
u
ar
e
a
n
d
,
r
ef
er
s
to
th
e
in
d
ices o
f
t
h
e
ce
n
ter
s
q
u
ar
e
.
2)
W
e
ca
n
ca
lcu
late
t
h
e
m
o
m
e
n
t
f
ea
t
u
r
e
o
f
p
ix
el
FM
p
(
I
,
,
j)
i
n
a
d
ef
in
ite
s
q
u
ar
ei
n
th
e
i
m
a
g
e
b
y
ap
p
l
y
i
n
g
t
h
e
f
o
llo
w
in
g
o
f
r
elat
io
n
:
FM
p
(
i,
j)
=
F
P
(
i,
j)
x
d
s
(7
)
3)
T
h
e
(
(
m
o
m
en
t
f
ea
tu
r
e
s
o
f
a
s
p
ec
if
ic
s
q
u
ar
e)
(
MB
)
)
in
t
h
e
i
m
a
g
e,
a
n
d
ca
n
b
e
d
eter
m
i
n
ed
b
y
u
tili
ze
d
o
f
t
h
e
f
o
llo
w
in
g
o
f
r
elat
io
n
:
M
B
(
x
,
y
)
=
∑
∑
(
)
(8
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2021
:
8
4
6
-
8
5
3
850
W
h
er
e,
B
w
r
ef
er
s
to
t
h
e
w
id
th
o
f
s
q
u
ar
e,
an
d
B
h
r
ef
er
s
to
th
e
h
ei
g
h
t o
f
s
q
u
ar
e,
an
d
F
P
(
i,
j)
r
e
f
er
s
th
e
v
alu
e
p
i
x
el
o
f
s
elec
ted
s
q
u
ar
e.
(
I
,
j
)
is
th
e
(
p
ix
el
in
d
ices)
i
n
s
elec
ted
s
q
u
ar
eo
f
o
f
i
m
a
g
e.
3.
4
.
Clus
t
er
ing
s
a
t
ellit
e
i
m
a
g
e
I
n
th
i
s
s
tep
,
th
e
i
m
p
le
m
en
tati
o
n
o
f
K
-
Me
a
n
s
p
r
o
ce
d
u
r
e
is
u
tili
ze
d
b
y
t
w
o
i
n
p
u
t
p
ar
a
m
eter
s
,
th
e
f
ir
s
t
is
m
o
m
en
t
f
ea
t
u
r
e
v
al
u
es
o
f
w
h
o
ll
y
q
u
ad
r
an
g
les
o
f
i
m
a
g
e
an
d
th
e
s
ec
o
n
d
is
t
h
e
n
u
m
b
e
r
o
f
clu
s
ter
s
.
T
h
e
m
o
m
e
n
t
f
ea
tu
r
e
is
ex
t
r
ac
ted
f
o
r
ea
ch
im
a
g
e
s
q
u
ar
e
an
d
p
u
t
a
w
a
y
i
n
th
e
t
w
o
d
i
m
en
t
io
n
al
ar
r
ay
,
an
d
th
e
K
-
Me
an
s
p
r
o
ce
d
u
r
e
is
u
s
ef
u
l
an
d
g
at
h
er
in
g
o
f
al
l
t
h
ese
h
ig
h
l
ig
h
ts
to
g
et
t
h
e
b
est
o
f
t
h
e
f
e
atu
r
es
(
ce
n
tr
o
id
s
)
.
W
h
er
e,
p
ix
els
estee
m
i
n
th
e
i
m
ag
e
b
elo
n
g
s
to
ea
ch
ce
n
tr
o
i
d
ar
e
p
u
t
a
w
a
y
as
a
v
ec
to
r
in
d
atab
ase
th
at
u
ti
lized
in
th
e
i
m
a
g
e
ca
te
g
o
r
izin
g
.
3.
5
.
Sa
t
ellit
e
i
m
a
g
e
ca
t
eg
o
ri
zing
a
nd
a
na
ls
is
y
T
h
e
Gr
ee
ce
ca
teg
o
r
izin
g
s
tep
is
d
o
n
e
a
f
ter
th
e
g
at
h
er
in
g
o
f
h
ig
h
p
o
in
t
s
an
d
k
ep
t
i
n
d
atab
ase.
T
h
e
ca
teg
o
r
izin
g
m
et
h
o
d
tr
u
s
t
s
u
p
o
n
t
h
e
ch
e
c
k
u
p
f
o
r
s
p
ec
tr
in
g
a
m
o
u
n
t
to
al
lp
ix
el
s
i
n
t
h
e
(
b
u
ilt
-
u
p
d
atab
ase
)
,
b
ased
to
th
e
n
ea
r
n
es
s
f
o
r
all
(
p
i
x
els)
in
to
th
e
class
es
a
v
ail
ab
le
in
a
d
atab
ase.
C
ateg
o
r
izin
g
m
et
h
o
d
ar
e
ac
co
m
p
li
s
h
ed
b
y
d
eter
m
i
n
i
n
g
t
h
e
s
i
m
ilar
i
t
y
v
al
u
atio
n
(
S
q
)
b
etw
ee
n
ea
c
h
th
e
i
m
a
g
e
(
p
ix
e
l)
F
xy
,
th
e
a
v
er
ag
e
μ
b
y
p
u
t o
n
th
e
(
9
)
,
th
e
m
a
x
i
m
u
m
v
alu
eSq
r
f
er
s
to
p
ix
el
in
i
m
a
g
e
v
alu
a
tio
n
f
o
r
ev
er
y
clas
s
[
2
5
]
.
S
q
=
(
1
-
│µ
-
F
xy
│)
(9
)
4.
E
XP
E
R
I
M
E
NT
A
L
RE
SUL
T
SAND
ANAL
SI
SY
T
h
e
g
r
ea
test
s
ig
n
i
f
ica
n
t
f
ac
to
r
s
o
f
u
tili
ze
d
t
h
e
Ath
e
n
s
cit
y
ar
ea
in
Gr
ee
ce
i
m
a
g
es
h
a
v
i
n
g
t
h
e
f
i
v
e
t
y
p
es
o
f
t
h
e
cla
s
s
es
a
n
d
b
ein
g
ap
p
lied
as
ass
is
ta
n
ce
f
o
r
clar
if
icatio
n
.
I
t
co
m
p
leted
to
d
is
co
u
r
s
e
t
h
e
v
ar
ia
n
ce
s
b
et
w
ee
n
a
class
e
s
an
d
lear
n
i
n
g
th
e
ar
ea
o
f
s
a
f
e
b
y
e
v
er
y
(
c
lass
)
.
A
n
i
m
a
g
es
o
cc
u
p
ied
b
y
th
e
(
Sen
ti
n
el
-
2
A
)
s
atellite
co
v
er
ed
in
Ath
e
n
s
cit
y
,
Gr
ee
ce
t
h
at
s
itu
a
ted
at
s
co
p
e
(
3
7
°
5
8
′
4
6
″
)
N,
(
2
3
°
4
2
′
5
8
″
)
E
.
I
n
th
i
s
w
o
r
k
,
th
e
in
p
u
t
i
m
a
g
es
ca
te
g
o
r
ized
b
ef
o
r
e
an
d
af
ter
th
e
W
ild
f
ir
es
f
o
r
a
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
.
W
h
er
e,
th
e
v
ar
iatio
n
s
o
f
th
e
s
p
ec
tr
al
h
i
g
h
li
g
h
t
s
i
n
t
h
e
s
e
i
m
ag
e
s
g
i
v
e
f
iv
e
cla
s
s
e
s
:
(
w
ater
,
tr
ee
s
ar
ea
,
b
u
ild
in
g
s
w
it
h
o
u
t
tr
ee
s
,
b
u
ild
in
g
s
w
i
th
tr
ee
s
,
a
n
d
b
ar
e
lan
d
s
)
.
A
f
ter
s
tr
at
if
y
t
h
ec
ateg
o
r
ize
m
et
h
o
d
,
th
e
d
atab
ase
co
n
tai
n
s
f
ea
tu
r
e
o
f
m
o
m
en
t
ele
m
e
n
t
v
a
lu
atio
n
s
f
o
r
s
q
u
ar
e
s
o
f
i
m
ag
e
id
e
n
tical
f
o
r
th
e
latter
b
estce
n
tr
o
id
s
ac
h
i
ev
e
d
f
r
o
m
ap
p
l
y
i
ng
th
e
k
-
m
ea
n
s
o
n
t
h
e
s
q
u
ar
es
o
f
i
m
a
g
e
,
w
h
er
e
th
e
n
u
m
b
er
of
r
ep
etitio
n
p
r
o
b
ab
le
to
g
r
o
w
g
ath
er
in
g
an
d
b
est
ce
n
tr
o
id
s
b
ef
o
r
e
an
d
af
ter
(
W
ild
f
ir
es)
th
e
i
m
a
g
e
o
f
Gr
ee
ce
s
h
o
w
n
in
F
ig
u
r
e
3
(
a,
b
)
a
r
e
6
,
2
r
esp
ec
tiv
ely
a
y
ea
r
(
2007
)
.
T
h
e
Fiv
e
cla
s
s
e
s
w
it
h
b
est
C
e
n
tr
o
i
d
s
ch
ar
ac
t
er
is
e
f
ea
t
u
r
e
f
o
r
d
ef
i
n
ite
s
q
u
ar
es
o
f
ca
teg
o
r
ized
i
m
a
g
e.
T
h
e
Fi
g
u
r
es
5
a
n
d
6
s
h
o
w
a
clas
s
es
w
i
th
t
h
e
b
est
C
e
n
tr
o
id
s
th
e
ca
te
g
o
r
ized
i
m
ag
e
b
ef
o
r
e
an
d
a
f
ter
t
h
e
(
W
ild
f
ir
es
Fo
r
)
a
y
ea
r
(
2
0
0
7
)
.
A
lt
h
o
u
g
h
,
th
e
r
e
g
io
n
co
v
er
ed
b
y
i
n
d
i
v
id
u
all
y
cla
s
s
i
n
ca
t
e
g
o
r
ized
im
a
g
es
ca
n
b
e
ca
lcu
late
f
o
r
a
y
ea
r
(
2
0
0
7
a
n
d
2
0
1
8
)
b
y
ap
p
l
y
i
n
g
t
h
e
(
10
).
A
r
ea
C
o
v
er
d
(m
2
)
=
(
No
.
o
f
P
i
x
els
)×
(1
0
)
Fig
u
r
e
5
.
Fiv
e
clas
s
es
w
i
th
t
h
e
b
est ce
n
tr
o
id
s
b
ef
o
r
e
f
ir
es in
2
0
0
7
Fig
u
r
e
6
.
Fiv
e
clas
s
es
w
i
th
t
h
e
b
est ce
n
tr
o
id
s
af
te
r
f
ir
es i
n
2
0
0
7
T
h
e
ca
teg
o
r
izin
g
r
es
u
lt
s
o
f
i
m
ag
e
s
o
f
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
(
W
ild
f
ir
es
)
f
o
r
y
ea
r
s
(
2
0
0
7
)
ar
e
p
r
esen
ted
in
Fig
u
r
e
7.
T
h
e
tr
ial
r
esu
lt
s
as
p
r
ese
n
ted
i
n
Fi
g
u
r
e
8
illu
m
i
n
ated
th
e
r
e
g
io
n
co
v
er
ed
b
y
e
v
er
y
cla
s
s
b
ef
o
r
e
an
d
af
ter
W
ild
f
ir
es
in
Gr
ee
ce
f
o
r
a
y
ea
r
(
2
0
0
7
)
w
as
ch
an
g
ed
an
d
d
etec
ts
th
e
d
a
m
a
g
e
ca
u
s
ed
b
y
th
e
s
e
f
ir
es a
n
d
th
eir
ef
f
ec
t o
n
e
n
v
ir
o
n
m
e
n
t a
n
d
s
o
il.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sc
i
I
SS
N:
2502
-
4752
C
a
teg
o
r
iz
in
g
a
n
d
mea
s
u
r
eme
n
t sa
tellite im
a
g
e
p
r
o
ce
s
s
in
g
o
f fir
e
in
th
e
…
(
A
li A
b
d
u
lw
a
h
h
a
b
Mo
h
a
mme
d
)
851
Fig
u
r
e
7
.
T
h
e
ca
teg
o
r
ized
im
a
g
es o
f
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
W
ild
f
ir
es f
o
r
a
y
ea
r
(
2
0
0
7
)
Fig
u
r
e
8
.
T
h
e
ef
f
ec
t o
n
No
.
p
ix
el
f
o
r
ev
er
y
clas
s
in
ca
te
g
o
r
ized
im
a
g
e
b
ef
o
r
e
an
d
a
f
ter
f
ir
e
in
(
2
0
0
7
)
I
n
t
h
e
o
t
h
er
s
id
e,
th
e
n
u
m
b
er
o
f
c
y
cles
n
ee
d
ed
to
g
et
co
n
v
er
g
en
ce
an
d
b
est ce
n
tr
o
id
s
b
e
f
o
r
e
an
d
a
f
te
r
(
W
ild
f
ir
esin
)
th
e
i
m
a
g
e
o
f
Gr
ee
ce
as
s
h
o
w
n
in
F
ig
u
r
e
4
(
a,
b
)
ar
e
5
,
6
r
esp
ec
tiv
el
y
f
o
r
a
y
ea
r
(
2
0
1
8
)
.
Fig
u
r
es
9
an
d
10
d
escr
ib
e
th
e
b
est
ce
n
tr
o
id
s
f
o
r
th
e
ca
teg
o
r
ized
i
m
ag
e
b
e
f
o
r
e
an
d
af
ter
t
h
e
(
W
ild
f
ir
es
)
f
o
r
a
y
ea
r
(
2
0
1
8
)
.
T
h
e
r
esu
l
ts
o
f
te
s
t
ap
p
ea
r
ed
in
T
ab
le
2
an
d
3
il
lu
m
i
n
ated
th
e
r
e
g
io
n
s
ec
u
r
ed
b
y
e
v
e
r
y
clas
s
b
e
f
o
r
e
an
d
af
ter
(
W
ild
f
ir
esi
n
)
in
Gr
ee
ce
f
o
r
a
y
ea
r
(
2
0
1
8
)
w
as c
h
an
g
ed
an
d
id
en
ti
f
y
th
e
d
a
m
ag
e
ca
u
s
e
d
b
y
t
h
ese
f
ir
es a
n
d
th
eir
e
f
f
ec
t
o
n
e
n
v
ir
o
n
m
en
ts
o
il
an
d
s
o
il.
T
h
e
ca
te
g
o
r
izin
g
r
es
u
lt
s
o
f
i
m
a
g
es
o
f
Gr
ee
ce
b
ef
o
r
e
an
d
af
ter
(
W
ild
f
ir
es)
f
o
r
a
y
ea
r
(
2
0
1
8
)
i
s
s
h
o
w
n
i
n
Fi
g
u
r
e
1
1
,
its
n
o
tic
e
th
er
e
ar
e
f
iv
e
u
n
iq
u
e
clas
s
es.
Fig
u
r
e
9.
B
est
ce
n
tr
o
id
s
f
o
r
f
i
v
e
class
e
s
af
ter
f
ir
es i
n
(
2
0
1
8
)
.
Fig
u
r
e
1
0
.
B
est
ce
n
tr
o
id
s
f
o
r
f
iv
e
clas
s
es
b
ef
o
r
e
f
ir
es i
n
(
2
0
1
8
)
b)
Af
ter
W
il
d
f
ires
a)
B
e
f
o
re
W
il
d
f
ires
B
a
r
e
l
a
n
d
s
B
u
i
l
d
i
n
g
s
w
i
t
h
o
u
t
T
r
e
ss
W
a
t
e
r
T
r
e
e
s
B
u
i
l
d
i
n
g
s
w
i
t
h
T
r
e
e
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2021
:
8
4
6
-
8
5
3
852
T
ab
le
2
.
T
h
e
co
v
er
r
eg
io
n
an
d
No
.
o
f
p
ix
el
f
o
r
ev
er
y
class
i
n
ca
teg
o
r
ized
i
m
a
g
e
b
ef
o
r
e
f
ir
e
in
(
2
0
1
8
)
C
l
a
sse
s
N
o
.
P
i
x
e
l
s
A
r
e
a
C
o
v
e
r
s (m
2
)
(
N
o
.
P
i
x
e
l
s *
1
0
)
W
a
t
e
r
9
7
6
5
0
0
9
7
6
5
0
0
0
T
r
e
e
a
r
e
a
1
6
4
7
8
0
1
6
4
7
8
0
0
B
u
i
l
d
i
n
g
s w
i
t
h
t
r
e
e
s
2
5
8
9
2
8
2
5
8
9
2
8
0
B
u
i
l
d
i
n
g
s w
i
t
h
o
u
t
t
r
e
e
s
4
2
7
7
8
0
4
2
7
7
8
0
0
B
a
r
e
l
a
n
d
s
2
1
6
1
2
2
1
6
1
2
0
T
ab
le
3
.
T
h
e
co
v
er
r
eg
i
o
n
an
d
No
.
o
f
p
ix
el
f
o
r
ev
er
y
class
i
n
ca
teg
o
r
ized
i
m
a
g
e
a
f
te
r
f
ir
e
in
(
2
0
1
8
)
C
l
a
sse
s
N
o
.
P
i
x
e
l
s
A
r
e
a
C
o
v
e
r
s (m
2
)
(
N
o
.
P
i
x
e
l
s *
1
0
)
W
a
t
e
r
9
6
1
8
9
6
9
6
1
8
9
6
0
T
r
e
e
a
r
e
a
1
3
2
6
4
7
1
3
2
6
4
7
0
B
u
i
l
d
i
n
g
s w
i
t
h
t
r
e
e
s
1
8
4
3
3
6
1
8
4
3
3
6
0
B
u
i
l
d
i
n
g
s w
i
t
h
o
u
t
t
r
e
e
s
2
7
8
6
4
8
2
7
8
6
4
8
0
B
a
r
e
l
a
n
d
s
2
4
2
5
1
6
2
4
2
5
1
6
0
Fig
u
r
e
11.
T
h
e
ca
teg
o
r
ized
i
m
ag
es o
f
Gr
ee
ce
b
ef
o
r
e
an
d
af
te
r
W
ild
f
ir
es f
o
r
a
y
ea
r
(
2
0
1
8
)
T
h
e
ex
p
er
i
m
e
n
tal
f
r
o
m
r
es
u
lt
ed
ab
o
u
t
o
f
t
h
e
p
r
o
p
o
s
ed
ca
teg
o
r
izin
g
ap
p
r
o
ac
h
p
r
esen
t
s
t
h
at
g
o
o
d
o
f
th
e
p
er
f
o
r
m
a
n
ce
ac
cu
r
ate
n
es
s
o
f
th
e
i
m
ag
e
ca
te
g
o
r
ized
tak
en
b
y
Sen
t
in
el
-
2
A
s
ate
llit
e
an
d
g
i
v
e
th
e
g
r
ea
t
an
al
y
s
is
r
es
u
lts
ab
o
u
t a
d
a
m
ag
es a
b
o
u
t b
ec
au
s
e
t
h
e
f
ir
es
in
t
h
e
f
o
r
est Gr
ee
ce
f
o
r
a
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
.
I
n
a
y
ea
r
(
2
0
0
7
A
.
D.
)
th
e
tr
ee
class
is
co
v
er
ed
th
e
zo
n
e
(
4
1
6
8
9
2
0
m
2
b
ef
o
r
e
W
ild
f
i
r
es),
w
h
i
le
(
af
ter
th
e
W
ild
f
ir
es
it's
co
v
er
ed
th
e
zo
n
e
2
1
3
7
1
2
0
m
2
)
.
Ot
h
er
w
is
e,
th
e
b
u
i
ld
in
g
w
it
h
tr
ee
s
clas
s
is
co
v
er
ed
th
e
zo
n
e
(
2
1
3
8
0
4
0
m
2
b
ef
o
r
e
W
ild
f
ir
es),
w
h
ile
(
af
ter
W
ild
f
ir
es
it
'
s
co
v
er
ed
1
8
2
5
7
2
0
m
2
)
.
A
ls
o
,
t
h
e
(
b
ar
e
lan
d
s
c
lass
is
co
v
er
ed
th
e
zo
n
e
2
9
1
4
4
0
m
2
b
ef
o
r
e
W
ild
f
ir
es),
b
u
t
(
af
ter
t
h
e
W
ild
f
ir
es
i
t's
co
v
er
ed
2
1
2
4
0
0
0
m
2
)
.
An
d
th
e
n
a
tu
r
al
i
m
a
g
es
o
f
Gr
ee
ce
af
ter
W
ild
f
ir
es
th
a
t
allu
d
es
to
th
e
g
i
g
a
n
tic
h
ar
m
ed
in
t
h
e
Ath
e
n
a
cit
y
.
Af
te
r
th
e
W
ild
f
ir
es
th
a
t
o
cc
u
r
r
ed
in
th
e
Gr
ee
ce
in
(
2
0
0
7
)
an
d
d
u
r
in
g
t
h
e
e
lev
e
n
y
ea
r
s
b
ac
k
t
u
r
n
ed
i
n
to
t
h
e
zo
n
e
c
o
v
er
ed
b
y
th
e
c
lass
o
f
tr
ee
s
in
(
2
0
1
8
)
is
(
1
6
4
7
8
0
0
m
2
)
,
th
e
r
eg
io
n
co
v
er
ed
b
y
th
e
cla
s
s
o
f
b
ar
e
lan
d
s
is
(
2
1
6
1
2
0
m
2
)
,
an
d
th
e
zo
n
e
co
v
er
ed
b
y
th
e
cla
s
s
o
f
b
u
ild
in
g
w
i
th
tr
ee
s
is
(
2
8
5
9
2
8
0
m
2
)
.
T
h
e
o
b
s
er
v
ed
f
r
o
m
th
e
r
e
s
u
lt a
n
al
y
s
i
s
ab
o
u
t
th
e
h
ar
m
s
r
es
u
lted
b
ec
a
u
s
e
o
f
th
e
f
ir
es
i
n
t
h
e
f
o
r
est
Gr
ee
ce
f
o
r
a
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
w
h
er
e,
th
e
n
u
m
b
er
o
f
p
ix
el
f
o
r
clas
s
(
tr
ee
an
d
tr
ee
s
w
it
h
b
u
ild
in
g
)
ar
e
in
cr
ea
s
in
g
a
f
ter
(
w
ild
f
ir
e
s
)
in
(
2
0
0
7
)
th
at
r
ef
er
s
t
h
e
s
ize
o
f
t
h
e
d
ev
el
o
p
m
en
t
i
n
cu
ltu
r
i
n
g
an
d
r
ec
o
n
s
tr
u
ctio
n
o
f
b
u
ild
in
g
s
d
u
r
in
g
1
1
y
ea
r
s
ag
o
to
(
2
0
1
8
)
w
h
ic
h
i
m
p
lie
s
th
at
th
e
ex
ac
t
n
e
s
s
o
f
p
r
o
p
o
s
ed
ca
teg
o
r
izin
g
tech
n
iq
u
e
f
o
r
th
i
s
s
t
u
d
y
.
5.
CO
NCLU
SI
O
N
AND
F
U
T
U
RE
WO
RK
Satellite
(
Se
n
ti
n
el
-
2A
)
i
m
a
g
er
y
is
a
p
o
lar
-
o
r
b
iti
n
g
,
m
u
ltis
p
e
ct
r
al
h
i
g
h
-
r
eso
l
u
tio
n
s
atelli
te
th
at
co
v
er
A
t
h
e
n
s
d
o
w
n
to
w
n
,
Gr
ee
ce
th
a
t
lo
ca
ted
at
lat
itu
d
e
(
3
7
°
5
8
′
4
6
″
)
N,
(
2
3
°
4
2
′
5
8
″
)
E.
I
n
th
i
s
w
o
r
k
,
n
o
ticed
t
h
e
in
f
lu
e
n
ce
d
zo
n
e,
t
h
e
b
u
r
n
ed
zo
n
es.
I
t
o
b
s
er
v
ed
t
h
e
i
m
p
ac
t
o
n
ea
c
h
clas
s
b
ef
o
r
e
a
n
d
af
ter
t
h
e
f
ir
es
t
h
at
h
ap
p
en
ed
in
f
o
r
ests
o
f
A
t
h
en
s
cit
y
in
Gr
ee
ce
f
o
r
a
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
.
T
h
e
ex
p
er
i
m
en
tal
o
f
r
esu
lted
p
r
esen
ts
t
h
at
g
o
o
d
o
f
th
e
p
er
f
o
r
m
a
n
ce
co
r
r
ec
tn
es
s
in
ca
te
g
o
r
izin
g
w
i
th
f
i
v
e
v
ar
io
u
s
cla
s
s
e
s
(
tr
ee
s
,
w
ater
,
b
ar
e
lan
d
s
,
b
u
ild
i
n
g
s
w
it
h
tr
ee
,
b
u
ild
in
g
s
w
it
h
o
u
t
tr
ee
)
an
d
g
o
o
d
r
esu
lt
an
d
an
a
l
y
s
is
ab
o
u
t
d
a
m
ag
es
r
es
u
lted
f
r
o
m
th
e
f
ir
es
i
n
th
e
f
o
r
est
Gr
ee
ce
f
o
r
a
y
ea
r
s
(
2
0
0
7
an
d
2
0
1
8
)
w
h
er
e,
th
e
n
u
m
b
er
o
f
p
ix
el
f
o
r
class
(
b
u
ild
in
g
w
it
h
tr
ee
an
d
tr
ee
s
)
ar
e
in
cr
ea
s
in
g
af
ter
(
w
ild
f
ir
es)
i
n
(
2
0
0
7
)
th
a
t
r
ef
er
s
th
e
s
ize
o
f
th
e
d
ev
elo
p
m
e
n
t
i
n
c
u
lt
u
r
in
g
an
d
r
ec
o
n
s
tr
u
ctio
n
o
f
b
u
ild
i
n
g
s
d
u
r
in
g
1
1
y
ea
r
s
ag
o
to
(
2
0
1
8
)
w
h
ic
h
m
ea
n
s
th
a
t
t
h
e
ac
cu
r
ac
y
o
f
p
r
o
p
o
s
ed
ca
teg
o
r
izin
g
tec
h
n
iq
u
e
is
b
est
f
o
r
th
is
s
t
u
d
y
.
Fo
r
f
u
t
u
r
e
p
ap
er
,
u
tili
ze
d
an
o
t
h
er
lan
d
s
at
s
at
ellite
i
m
ag
e
f
o
r
th
e
s
a
m
e
zo
n
e
w
i
th
SVM
o
r
g
en
et
ic
alg
o
r
ith
m
ca
te
g
o
r
izin
g
B
a
r
e
l
a
n
d
s
B
u
i
l
d
i
n
g
s
w
i
t
h
o
u
t
T
r
e
ss
W
a
t
e
r
T
r
e
e
s
B
u
i
l
d
i
n
g
s
w
i
t
h
T
r
e
e
s
b)
Af
ter
W
il
d
f
ires
a)
B
e
f
o
re
W
il
d
f
ires
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sc
i
I
SS
N:
2502
-
4752
C
a
teg
o
r
iz
in
g
a
n
d
mea
s
u
r
eme
n
t sa
tellite im
a
g
e
p
r
o
ce
s
s
in
g
o
f fir
e
in
th
e
…
(
A
li A
b
d
u
lw
a
h
h
a
b
Mo
h
a
mme
d
)
853
RE
F
E
R
E
NC
E
S
[1
]
P
a
ti
n
o
,
Jo
rg
e
E.
,
a
n
d
J
u
a
n
C.
D
u
q
u
e
.
"
A
re
v
ie
w
o
f
re
g
io
n
a
l
sc
ien
c
e
a
p
p
li
c
a
ti
o
n
s
o
f
sa
telli
te
re
m
o
te
s
e
n
sin
g
in
u
rb
a
n
se
tt
in
g
s."
Co
mp
u
ter
s
,
E
n
v
iro
n
me
n
t
a
n
d
Ur
b
a
n
S
y
ste
ms
,
v
o
l.
3
7
,
p
p
1
-
1
7
,
2
0
1
3
.
[2
]
K.
Ra
d
h
ik
a
,
S
.
V
a
ra
d
a
ra
jan
“
S
a
tel
li
te
Im
a
g
e
Clas
si
f
ica
ti
o
n
o
f
Di
ff
e
re
n
t
Re
so
lu
ti
o
n
Im
a
g
e
s
Us
in
g
Cl
u
ste
r
En
se
m
b
le
T
e
c
h
n
iq
u
e
s”
re
se
a
rc
h
g
a
te
,
2
0
1
7
.
[3
]
Jo
g
,
S
a
y
a
li
,
a
n
d
M
r
u
d
u
l
Dix
it
.
"
S
u
p
e
rv
ise
d
c
las
sif
ica
ti
o
n
o
f
sa
tell
it
e
im
a
g
e
s."
In
2
0
1
6
Co
n
fer
e
n
c
e
o
n
Ad
v
a
n
c
e
s
i
n
S
ig
n
a
l
Pro
c
e
ss
in
g
(
CAS
P)
,
p
p
.
9
3
-
9
8
.
IEE
E,
2
0
1
6
.
[4
]
A
s
sa
d
H.
T
h
a
r
y
A
l
-
G
h
ra
iri
,
M
o
h
a
m
m
e
d
S
.
M
a
h
d
i
A
l
-
T
a
e
i
"
KM
e
a
n
s
b
a
se
d
S
V
D
f
o
r
M
u
lt
ib
a
n
d
S
a
telli
te
Im
a
g
e
Clas
sif
ic
a
ti
o
n
"
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
S
c
ien
ti
fi
c
&
E
n
g
in
e
e
rin
g
Res
e
a
rc
h
,
v
o
l.
7
,
n
o
.
8
,
IS
S
N
2
2
2
9
-
5
5
1
8
,
2
0
1
6
.
[5
]
R.
M
o
h
a
m
e
d
e
t
a
l.
,
”
Ba
t
a
l
g
o
rit
h
m
a
n
d
k
-
m
e
a
n
s
tec
h
n
iq
u
e
s
f
o
r
c
las
si
f
ica
ti
o
n
p
e
rf
o
r
m
a
n
c
e
im
p
ro
v
e
m
e
n
t.
”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
,
v
o
l.
1
5
,
n
o
.
3
,
p
p
.
1
4
1
1
-
1
4
1
8
,
2
0
1
9
.
[6
]
A
s
sa
d
H.
T
h
a
r
y
A
l
-
G
h
ra
iri
,
Hu
ss
e
in
T
h
a
r
y
Kh
a
m
e
e
s,
A
li
A
.
M
o
h
a
m
m
e
d
,
Ha
rit
h
M
.
S
a
e
e
d
,
Wala
a
S
.
T
a
h
lo
k
,
a
n
d
Zah
ra
a
H.
A
b
e
d
,
"
Clas
si
fy
a
n
d
A
n
a
l
y
sis
o
f
F
ire
in
th
e
F
o
re
st
G
re
e
c
e
Us
in
g
Re
m
o
te
S
e
n
sin
g
"
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
S
c
ien
ti
fi
c
&
En
g
in
e
e
rin
g
Res
e
a
rc
h
,
v
o
l.
1
0
,
n
o
.
1
0
.
P
p
.
1
3
6
4
-
1
3
7
1
,
2
0
1
9
.
[7
]
A
b
li
n
,
R.
,
C.
He
len
S
u
l
o
c
h
a
n
a
,
a
n
d
G
.
P
ra
b
in
.
"
A
n
in
v
e
stig
a
ti
o
n
i
n
sa
telli
te
im
a
g
e
s
b
a
se
d
o
n
im
a
g
e
e
n
h
a
n
c
e
m
e
n
t
tec
h
n
iq
u
e
s."
Eu
ro
p
e
a
n
J
o
u
r
n
a
l
o
f
Rem
o
te S
e
n
si
n
g
,
p
p
1
-
9
,
2
0
1
9
.
[8
]
S
.
M
a
n
t
h
iraMo
o
rt
h
i,
I
n
d
ra
n
il
M
isr
a
,
“
Ke
rn
e
l
b
a
se
d
lea
rn
i
n
g
a
p
p
ro
a
c
h
f
o
r
sa
telli
te
im
a
g
e
c
la
ss
i
f
ica
ti
o
n
u
si
n
g
su
p
p
o
rt
v
e
c
to
r
m
a
c
h
in
e
”
,
Rec
e
n
t
Ad
v
a
n
c
e
s
in
I
n
telli
g
e
n
t
C
o
mp
u
ta
t
io
n
a
l
S
y
ste
ms
(
RA
ICS
)
,
IEE
E
,
2
0
1
1
.
DO
I:
1
0
.
1
1
0
9
/RA
ICS
.
2
0
1
1
.
6
0
6
9
2
8
2
,
I
S
BN
:
9
7
8
-
1
-
4
2
4
4
-
9
4
7
8
-
1,
[9
]
M
o
h
a
m
m
e
d
S
.
M
a
h
d
i
A
l
-
T
a
e
i,
As
sa
d
H.
T
h
a
r
y
A
l
-
G
h
ra
iri
,
“
S
a
telli
te I
m
a
g
e
Cl
a
ss
i
f
ica
ti
o
n
Us
in
g
M
o
m
e
n
t
a
n
d
S
V
D
M
e
th
o
d
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
ter
,
v
o
l.
2
3
,
n
o
.
1
,
p
p
.
10
-
3
4
,
2
0
1
6
.
[1
0
]
Hn
a
tu
sh
e
n
k
o
,
V
ik
V
.
,
V
ik
Hn
a
t
u
sh
e
n
k
o
,
D.
K.
M
o
z
g
o
v
y
i,
a
n
d
V
.
V
.
V
a
sili
e
v
.
"
S
a
telli
te
T
e
c
h
n
o
lo
g
y
o
f
th
e
f
o
re
st
f
ires
E
ff
e
c
ts
M
o
n
it
o
ri
n
g
.
"
S
c
ien
ti
f
ic B
u
ll
e
ti
n
o
f
Na
t
io
n
a
l
M
i
n
in
g
Un
ive
rs
it
y
,
2
0
1
6
.
[1
1
]
V
il
a
r,
L
a
ra
,
A
n
d
re
a
Ca
m
ia,
a
n
d
J
e
sú
s S
a
n
-
M
ig
u
e
l
-
Ay
a
n
z
.
"
A
c
o
m
p
a
riso
n
o
f
re
m
o
te s
e
n
sin
g
p
ro
d
u
c
t
s an
d
f
o
re
st
f
ire
sta
ti
stics
f
o
r
i
m
p
ro
v
in
g
f
ire
in
f
o
r
m
a
ti
o
n
in
M
e
d
it
e
rra
n
e
a
n
Eu
r
o
p
e
.
"
Eu
ro
p
e
a
n
J
o
u
rn
a
l
o
f
Rem
o
te
S
e
n
sin
g
4
8
,
n
o
.
1
,
pp
.
3
4
5
-
364
,
2
0
1
5
.
[1
2
]
A
s
sa
d
H.
T
h
a
r
y
A
l
-
G
h
ra
iri
,
"
S
a
te
ll
it
e
Im
a
g
e
Clas
si
f
ica
ti
o
n
Us
in
g
K
-
M
e
a
n
s
a
n
d
S
V
D
T
e
c
h
n
iq
u
e
s"
,
L
AP
L
AM
BE
R
T
Aca
d
e
mic
Pu
b
li
sh
in
g
IS
B
N:
9
7
8
-
620
-
2
-
0
2
1
4
5
-
6,
2
0
1
7
.
[1
3
]
Ug
u
r
A
lg
a
n
c
i,
El
if
S
e
rtela
,
A
n
d
Ca
n
k
u
t
Orm
e
c
i,
“
F
o
re
st
F
ire
Da
m
a
g
e
Esti
m
a
ti
o
n
Us
in
g
Re
m
o
te
S
e
n
sin
g
a
n
d
G
IS
”
,
Rem
o
te S
e
n
si
n
g
f
o
r S
c
ie
n
c
e
,
Ed
u
c
a
ti
o
n
,
R
a
i
n
e
Reu
ter
(
Ed
it
o
r)
a
n
d
Na
tu
ra
l
a
n
d
Cu
lt
u
ra
l
He
rita
g
e
,
2
0
1
0
.
[1
4
]
A
b
d
u
l
k
a
d
h
e
m
,
A
.
A
.
,
&
A
l
-
A
s
sa
d
i
,
T
.
A
.
.
"
A
n
im
p
o
r
t
a
n
t
la
n
d
m
a
rk
s
c
o
n
s
t
r
u
c
t
i
o
n
f
o
r
a
G
I
S
-
M
a
p
b
a
se
d
o
n
i
n
d
e
x
i
n
g
o
f
d
o
l
l
y
im
a
g
e
s
.
"
I
n
d
o
n
e
s
i
a
n
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
E
n
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
1
5
,
n
o
.
1
,
pp
.
4
5
1
-
4
5
9
,
2
0
1
9
.
[1
5
]
A
n
a
sta
si
a
P
o
ly
c
h
ro
n
a
k
i
a
n
d
Io
a
n
n
is
Z.
G
it
a
s.
“
Bu
rn
e
d
A
re
a
M
a
p
p
in
g
in
G
re
e
c
e
Us
in
g
S
P
OT
-
4
HRV
IR
Im
a
g
e
s
a
n
d
Ob
jec
t
-
Ba
se
d
Im
a
g
e
A
n
a
l
y
sis”
,
Rem
o
te S
e
n
s
.
,
p
p
.
4
2
4
-
4
3
8
,
2
0
1
2
.
[1
6
]
A
li
y
u
,
Ha
jar
a
A
b
d
u
lk
a
rim
,
M
o
h
d
A
z
h
a
r
A
b
d
u
l
Ra
z
a
k
,
a
n
d
Ru
b
it
a
S
u
d
irm
a
n
.
"
No
rm
a
l
a
n
d
a
b
n
o
rm
a
l
re
d
b
lo
o
d
c
e
l
l
re
c
o
g
n
it
io
n
u
si
n
g
im
a
g
e
p
ro
c
e
ss
i
n
g
.
"
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
E
n
g
i
n
e
e
rin
g
a
n
d
Co
mp
u
ter
S
c
ien
c
e
,
v
o
l.
1
4
,
n
o
.
1
,
pp
.
1
0
0
-
1
0
4
,
2
0
1
9
.
[1
7
]
F
lo
ri
n
-
A
n
d
re
i
G
e
o
rg
e
sc
u
,
Co
rin
a
V
a
d
u
v
a
,
Da
n
Ra
d
u
c
a
n
u
,
a
n
d
M
i
h
a
i
Da
tcu
“
F
e
a
tu
re
Ex
tr
a
c
ti
o
n
fo
r
P
a
tch
-
b
a
se
d
Clas
sif
ic
a
ti
o
n
o
f
M
u
lt
isp
e
c
tral
Ea
rth
Ob
se
rv
a
ti
o
n
Im
a
g
e
s”
,
Pu
b
li
sh
e
d
in
I
EE
E
,
v
o
l.
1
3
,
n
o
.
6
,
2
0
1
6
.
[1
8
]
G
u
re
,
M
u
lay
i
m
,
M
e
h
m
e
t
E
m
in
O
z
e
l,
H.
Hu
ly
a
Yild
iri
m
,
a
n
d
M
u
z
a
ffe
rOz
d
e
m
ir.
"
Us
e
o
f
sa
t
e
ll
it
e
ima
g
e
s
f
o
r
f
o
re
st
f
ires
in
a
re
a
d
e
ter
m
in
a
ti
o
n
a
n
d
m
o
n
it
o
rin
g
.
"
I
n
2
0
0
9
4
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Rec
e
n
t
Ad
v
a
n
c
e
s
in
S
p
a
c
e
T
e
c
h
n
o
l
o
g
ies
,
p
p
.
2
7
-
32,
IEE
E,
2
0
0
9
.
[1
9
]
KR.S
iv
a
b
a
lan
,
E.
Ra
m
a
ra
j,
“
Re
f
l
e
c
ti
o
n
Ba
se
d
P
h
e
n
o
l
o
g
y
M
e
h
o
d
f
o
r
S
a
telli
te
Im
a
g
e
En
v
iro
n
m
e
n
tal
Clas
sif
ic
a
ti
o
n
”
T
h
ird
In
ter
n
a
ti
o
n
a
l
Co
n
fe
re
n
c
e
o
n
S
c
ien
c
e
T
e
c
h
n
o
l
o
g
y
E
n
g
in
e
e
rin
g
&
M
a
n
a
g
e
me
n
t
,
2
0
1
7
.
[2
0
]
A
b
b
u
ru
,
S
u
n
it
h
a
,
a
n
d
S
u
re
sh
B
a
b
u
G
o
ll
a
.
"
S
a
telli
te
im
a
g
e
c
las
sif
ica
ti
o
n
m
e
th
o
d
s
a
n
d
tec
h
n
iq
u
e
s:
A
re
v
ie
w
.
"
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
C
o
mp
u
ter
Ap
p
l
ica
ti
o
n
s
,
v
o
l.
1
1
9
,
n
o
.
8
,
2
0
1
5
.
[2
1
]
Ra
h
u
l
Ne
w
a
re
,
Am
re
e
n
Kh
a
n
“
S
u
rv
e
y
o
n
Clas
sif
ica
ti
o
n
tec
h
n
i
q
u
e
s
u
se
d
in
re
m
o
te
se
n
sin
g
f
o
r
sa
telli
te
im
a
g
e
s”
Res
e
a
rc
h
g
a
te
,
2
0
1
8
.
[2
2
]
P
a
ra
m
e
s
wa
ra
n
,
N
a
m
b
o
o
d
iri
S
a
n
d
h
y
a
,
a
n
d
D.
V
e
n
k
a
tara
m
a
n
.
"
A
c
o
m
p
u
ter
v
isio
n
b
a
se
d
i
m
a
g
e
p
ro
c
e
ss
in
g
s
y
ste
m
f
o
r
d
e
p
re
ss
io
n
d
e
tec
ti
o
n
a
m
o
n
g
stu
d
e
n
ts
f
o
r
c
o
u
n
se
li
n
g
.
"
In
d
o
n
e
sia
n
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
Co
mp
u
ter
S
c
ien
c
e
,
v
o
l.
1
4
,
n
o
.
1
,
pp
.
5
0
3
-
512
,
2
0
1
9
.
[2
3
]
A
n
a
n
d
,
U
.
;
S
a
n
to
sh
,
K.
S
.
a
n
d
V
i
p
in
,
G
.
S
.
,
"
Im
p
a
c
t
o
f
f
e
a
tu
re
s
o
n
c
las
sif
i
c
a
ti
o
n
a
c
c
u
ra
c
y
o
f
IRS
LIS
S
-
III
im
a
g
e
s
u
sin
g
a
rti
f
icia
l
n
e
u
ra
l
n
e
tw
o
rk
"
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
A
p
p
li
c
a
ti
o
n
o
r
In
n
o
v
a
ti
o
n
in
E
n
g
i
n
e
e
rin
g
a
n
d
M
a
n
a
g
e
me
n
t
,
v
o
l
.
3
,
p
p
.
3
1
1
-
3
1
7
,
2
0
1
4
.
[2
4
]
A
s
s
a
d
H
.
T
h
a
ry
A
l
-
G
h
r
a
ir
i
,
Z
a
h
ra
a
H
.
A
b
e
d
,
F
a
t
im
a
h
H
.
F
a
d
h
i
l
,
a
n
d
F
a
t
e
n
K
.
,
“
C
la
s
s
if
ic
a
t
i
o
n
o
f
S
a
t
e
l
l
i
t
e
Im
a
g
e
s
B
a
s
e
d
o
n
C
o
l
o
r
F
e
a
t
u
r
e
s
U
s
i
n
g
Re
m
o
te
S
e
n
s
i
n
g
”
,
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
C
o
m
p
u
t
e
r
,
v
o
l
.
3
1
,
n
o
.
1
,
p
p
4
2
-
5
2
,
2
0
1
8
.
[2
5
]
M
a
h
d
i,
M
.
S
.
a
n
d
A
b
d
u
l
Ha
ss
a
n
,
A
.
A
.
,
"
S
a
telli
te
I
m
a
g
e
s
Cl
a
ss
if
i
c
a
ti
o
n
in
R
u
ra
l
A
re
a
s
Ba
s
e
d
o
n
F
ra
c
tal
Dim
e
n
sio
n
"
,
J
o
u
r
n
a
l
o
f
En
g
in
e
e
ri
n
g
,
v
o
l.
2
2
,
n
o
.
4
,
p
p
.
1
4
7
-
1
5
7
,
2
0
1
6
.
[2
6
]
Hu
ss
e
in
T
h
a
r
y
Kh
a
m
e
e
s
,
M
u
n
a
f
S
a
li
h
M
a
jee
d
,
"
A
re
c
e
iv
e
r
in
ten
sity
f
o
r
S
u
p
e
r
L
o
re
n
tz
G
a
u
ss
ian
b
e
a
m
(S
LG
)
p
ro
p
a
g
a
ti
o
n
v
ia
th
e
m
o
d
e
ra
te
tu
rb
u
len
t
a
tm
o
sp
h
e
re
u
sin
g
a
n
o
v
e
lt
y
m
a
th
e
m
a
ti
c
a
l
m
o
d
e
l"
,
J
o
u
rn
a
l
o
f
Op
ti
c
a
l
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l
.
4
1
,
n
o
.
1
,
p
p
1
-
8
,
2
0
2
0
.
[2
7
]
Hu
ss
e
in
T
h
a
ry
Kh
a
m
e
e
s
,
A
li
A
.
M
o
h
a
m
m
e
d
,
"
Bit
Err
o
r
Ra
te
Ev
a
lu
a
ti
o
n
i
n
A
tm
o
sp
h
e
ric
Blu
ste
ry
f
o
r
S
lan
t
P
a
t
h
S
p
re
a
d
o
f
S
u
p
e
r
L
o
re
n
tz
Ga
u
ss
ia
n
Be
a
m
"
,
J
o
u
rn
a
l
o
f
S
o
u
t
h
we
st
J
ia
o
t
o
n
g
Un
ive
rs
it
y
,
v
ol
.
5
5
,
n
o
1
,
p
p
.
1
-
8
,
2
0
2
0
.
h
tt
p
s:/
/d
o
i.
o
rg
/1
0
.
3
5
7
4
1
/i
ss
n
.
0
2
5
8
-
2
7
2
4
.
5
5
.
1
.
2
1
Evaluation Warning : The document was created with Spire.PDF for Python.