Ind
o
n
es
ian Jou
r
n
al
o
f
E
le
ctric
a
l E
n
g
in
ee
r
ing
and
C
o
mp
u
t
er
S
c
ienc
e
V
ol
. 8
,
No.
3,
Dec
em
be
r
20
17
, p
p
.
7
3
7
~
7
3
9
DO
I: 1
0.
11
5
91
/
i
j
ee
c
s
.v
8
.i
3
.
pp
7
3
7
-
7
3
9
737
Rec
ei
v
ed
J
ul
y
3
0
, 2
01
7
; Re
v
i
s
ed
O
c
tob
er
30
,
201
7
;
A
c
c
ep
ted
Nov
em
be
r
1
6,
2
01
7
Satellite I
ma
ge
Enhan
ceme
nt
u
sing
D
ual
Tree
M
-
Ban
d
W
a
v
el
et T
ra
ns
f
orm
C P
e
r
i
ya
sa
m
y
Dep
a
rtm
e
n
t
o
f
M
a
th
e
m
a
t
i
c
s
,
A
M
ET
Un
i
v
e
rs
i
ty
,
Che
n
n
a
i
,
In
d
i
a
Ab
strac
t
Drawb
a
c
k
o
f
l
o
s
i
n
g
h
i
g
h
fre
q
u
e
n
c
y
c
o
m
p
o
n
e
n
ts
s
u
ff
e
rs
t
h
e
r
e
s
o
l
u
t
i
o
n
e
n
h
a
n
c
e
m
e
n
t.
In
th
i
s
p
ro
j
e
c
t,
wa
v
e
l
e
t
d
o
m
a
i
n
b
a
s
e
d
i
m
a
g
e
re
s
o
l
u
ti
o
n
e
n
h
a
n
c
e
m
e
n
t
te
c
h
n
i
q
u
e
u
s
i
n
g
Du
a
l
Tr
e
e
M
-
Ba
n
d
W
a
v
e
l
e
t
Tra
n
s
f
o
rm
(DTM
BW
T)
i
s
p
ro
p
o
s
e
d
fo
r
re
s
o
l
u
ti
o
n
e
n
h
a
n
c
e
m
e
n
t
o
f
th
e
s
a
t
e
l
l
i
te
i
m
a
g
e
s
.
In
p
u
t
i
m
a
g
e
s
a
re
d
e
c
o
m
p
o
s
e
d
b
y
u
s
i
n
g
DTM
BW
T
i
n
th
i
s
p
ro
p
o
s
e
d
e
n
h
a
n
c
e
m
e
n
t
te
c
h
n
i
q
u
e
.
In
v
e
r
s
e
DTM
BW
T
i
s
u
s
e
d
to
g
e
n
e
ra
te
a
n
e
w
re
s
o
l
u
ti
o
n
e
n
h
a
n
c
e
d
i
m
a
g
e
fro
m
th
e
i
n
te
rp
o
l
a
ti
o
n
o
f
h
i
g
h
-
fre
q
u
e
n
c
y
s
u
b
b
a
n
d
i
m
a
g
e
s
a
n
d
th
e
i
n
p
u
t
l
o
w
-
re
s
o
l
u
t
i
o
n
i
m
a
g
e
.
In
te
rm
e
d
i
a
t
e
s
ta
g
e
h
a
s
b
e
e
n
p
ro
p
o
s
e
d
fo
r
e
s
t
i
m
a
ti
n
g
th
e
h
i
g
h
fre
q
u
e
n
c
y
s
u
b
b
a
n
d
s
to
a
c
h
i
e
v
e
a
s
h
a
rp
e
r
i
m
a
g
e
.
It
h
a
s
b
e
e
n
te
s
te
d
o
n
b
e
n
c
h
m
a
rk
i
m
a
g
e
s
fro
m
p
u
b
l
i
c
d
a
ta
b
a
s
e
.
Pe
a
k
S
i
g
n
a
l
-
To
-
No
i
s
e
Rat
i
o
(
PSNR
)
a
n
d
v
i
s
u
a
l
r
e
s
u
l
t
s
s
h
o
w
th
e
d
o
m
i
n
a
n
c
e
o
f
th
e
p
r
o
p
o
s
e
d
te
c
h
n
i
q
u
e
o
v
e
r t
h
e
p
r
e
d
i
c
ta
b
l
e
a
n
d
s
ta
t
e
-
of
-
a
rt
i
m
a
g
e
re
s
o
l
u
ti
o
n
e
n
h
a
n
c
e
m
e
n
t
te
c
h
n
i
q
u
e
s
.
Key
w
ords
:
Sa
t
e
l
l
i
te
I
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t,
DTM
BW
T,
PSNR
Copy
righ
t
©
2
0
1
7
In
s
titu
te
o
f
Adv
a
nc
e
d
Eng
in
e
e
ring
a
nd
Sc
ie
nc
e
.
All
righ
t
s
re
s
e
rve
d.
1.
Int
r
o
d
u
ctio
n
G
am
m
a
c
orr
ec
ted
ad
ap
ti
v
e
k
ne
e
tr
an
s
f
or
m
ati
on
ba
s
ed
on
b
eta
w
a
v
e
l
et
f
or
s
ate
l
l
i
te
i
m
ag
e
en
h
an
c
em
en
t
i
s
ex
pl
ai
n
ed
i
n
[
1].
In
pu
t
i
m
ag
e
i
s
de
c
om
po
s
ed
i
nt
o
s
ub
ba
n
d
i
m
ag
es
s
uc
h
as
Lo
w
-
H
i
g
h
(
LH)
,
Lo
w
-
Lo
w
(
LL
)
,
Hi
gh
-
Lo
w
(
HL)
,
a
nd
Hi
gh
-
Hi
gh
(
HH)
.
T
he
n
i
np
u
t
i
m
ag
e
w
i
th
L
L
ba
nd
c
oe
f
f
i
c
i
en
ts
are c
h
an
g
ed
to
ge
t
en
ha
nc
e
d L
L
-
ba
n
d u
s
i
n
g a
da
pt
i
v
e k
ne
e t
r
a
ns
f
or
m
ati
on
.
A
d
v
an
c
e
d
bl
oc
k
ba
s
ed
d
wt
tec
hn
i
qu
e
f
or
c
on
tr
as
t
en
ha
nc
em
en
t
of
s
ate
l
l
i
t
e
i
m
ag
es
i
s
pres
en
te
d
i
n
[
2].
F
l
ex
i
b
l
e
r
ad
i
an
t
tr
an
s
f
i
gu
r
at
i
on
an
d
preem
i
ne
nt
gl
a
z
e
l
ev
el
s
ar
e
us
ed
i
n
th
i
s
m
et
ho
d.
Inv
ers
e
Di
s
c
r
ete
W
av
el
et
T
r
an
s
f
or
m
(
ID
W
T
)
i
s
us
ed
to
en
h
an
c
e
t
he
i
m
ag
e
f
i
na
l
l
y
a
nd
D
W
T
ba
s
ed
on
ad
v
a
nc
ed
b
l
oc
k
i
s
us
ed
to
i
m
prov
e
ea
c
h
bl
oc
k
.
Inv
ers
e
D
W
T
i
s
us
ed
to
f
us
e
th
e
en
ha
nc
ed
b
l
oc
k
s
to
ob
tai
n
e
m
an
ate
d
i
m
ag
e.
P
i
c
ture
i
s
de
c
a
y
ed
i
nto
s
ub
b
an
ds
u
s
i
ng
ha
ar
wav
el
e
t trans
f
orm
.
F
us
i
on
an
d
M
orpho
l
o
gi
c
a
l
G
r
ad
i
e
nt
ba
s
ed
on
D
W
T
-
P
r
i
nc
i
pa
l
Com
po
ne
nt
A
na
l
y
s
i
s
(
P
CA
)
f
or
ed
ge
P
r
es
erv
i
n
g
S
at
el
l
i
t
e
Im
ag
e
E
n
ha
nc
e
m
en
t
i
s
de
s
c
r
i
be
d
i
n
[3]
.
I
np
ut
i
m
ag
e
i
s
de
c
om
po
s
ed
i
nto
v
ari
ou
s
s
ub
ba
n
ds
us
i
ng
D
W
T
.
F
us
i
on
i
s
ap
p
l
i
e
d
o
n
the
L
L
s
ub
ba
nd
us
i
ng
P
CA
.
T
he
n
en
h
an
c
ed
i
m
ag
e
i
s
r
ec
on
s
tr
uc
ted
us
i
ng
ID
W
T
.
F
i
ne
de
t
ai
l
s
ub
ba
nd
s
are
r
eq
u
i
r
ed
to
ac
hi
e
v
e
s
ha
r
p
bo
u
nd
ar
y
.
S
ate
l
l
i
te
i
m
ag
e
en
h
an
c
em
en
t
us
i
ng
a
n
ef
f
ec
ti
v
e
m
eth
od
i
s
di
s
c
us
s
ed
i
n
[
4].
D
W
T
w
i
th
hi
g
h
-
f
r
eq
ue
nc
y
s
ub
b
an
ds
an
d
l
o
w
r
es
ol
ut
i
on
i
n
pu
t
i
m
ag
e
i
s
us
ed
to
ob
t
ai
n
s
ha
r
p
i
m
ag
e
b
y
hi
g
h
f
r
eq
u
en
c
y
s
ub
ba
n
d
es
ti
m
ati
on
.
Res
ul
ta
nt
i
m
ag
e
i
s
r
ec
on
s
tr
uc
ted
us
i
n
g
ID
W
T
.
S
i
ng
u
l
ar
V
a
l
ue
Dec
om
po
s
i
ti
on
(
S
V
D)
an
d
D
W
T
ba
s
ed
on
G
am
m
a
Cor
r
ec
ti
on
f
or
s
ate
l
l
i
te
i
m
ag
e
en
ha
nc
em
en
t
are
ex
pl
ai
ne
d
i
n
[5]
.
Int
en
s
i
t
y
tr
an
s
f
or
m
ati
on
ba
s
ed
l
o
w
c
on
tr
as
t
s
ate
l
l
i
te
i
m
ag
es
are
en
ha
nc
e
d.
T
he
r
e
are
f
ou
r
v
ari
ou
s
s
ub
b
an
ds
are
i
nc
l
ud
ed
whi
l
e
d
ec
om
po
s
es
the
i
np
ut
i
m
ag
e
i
.e
.
L
L,
L
H,
HL
a
nd
H
H.
E
dg
e
i
nf
orm
ati
o
n
i
s
pres
erv
ed
b
y
ap
pl
y
i
n
g
g
am
m
a
c
orr
ec
ti
on
.
LL
s
u
b
-
ban
d
i
n
f
or
m
ati
on
of
ga
m
m
a
i
s
pa
s
s
ed
v
i
a
S
V
D
a
nd
ID
W
T
i
s
ap
pl
i
e
d
t
o
r
ec
on
s
tr
uc
t th
e
en
h
an
c
e
d i
m
ag
e.
P
l
a
tea
u h
i
s
tog
r
am
eq
u
al
i
z
a
ti
on
ba
s
e
d s
at
el
l
i
t
e i
m
ag
e c
on
tr
as
t e
nh
a
nc
em
en
t a
l
go
r
i
thm
i
s
pres
en
te
d
i
n
[6
].
Inp
ut
i
m
ag
e
de
c
om
po
s
i
ti
on
i
s
do
ne
us
i
n
g
bi
-
h
i
s
tog
r
am
eq
ua
l
i
z
ati
on
wi
t
h
pl
at
ea
u
an
d
t
hres
ho
l
d
c
al
c
ul
at
i
o
n
us
i
n
g
s
el
f
-
ad
ap
ti
v
e
pl
at
ea
u
hi
s
to
gram
eq
ua
l
i
z
a
ti
on
.
Mi
ni
m
u
m
m
ea
n
brig
ht
ne
s
s
err
or
b
i
-
hi
s
tog
r
am
eq
u
al
i
z
ati
on
,
hi
s
tog
r
am
eq
ua
l
i
z
ati
on
,
d
y
n
am
i
c
hi
s
tog
r
am
eq
ua
l
i
z
a
ti
o
n,
s
e
l
f
-
ad
ap
t
i
v
e
pl
at
ea
u
hi
s
t
og
r
am
eq
ua
l
i
z
at
i
on
are c
om
pa
r
ed
w
i
th
ex
i
s
ti
ng
m
eth
od
s
.
In
th
i
s
p
ap
er
al
s
o
de
s
c
r
i
b
ed
i
n,
La
n
d
us
e
a
nd
l
an
d
c
ov
er
c
l
as
s
i
f
i
c
at
i
on
of
L
IS
S
-
II
I
s
ate
l
l
i
t
e
i
m
ag
e
us
i
ng
K
NN
an
d
de
c
i
s
i
on
tr
e
e
[7
].
Com
bi
n
e
tec
h
ni
q
ue
f
or
c
l
as
s
i
f
i
c
ati
o
n
of
IRS
P
6
LIS
S
-
III
s
at
el
l
i
t
e i
m
ag
es
[8
].
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N:
2
50
2
-
4
75
2
IJE
E
CS
V
ol
.
8
,
N
o.
3,
Dec
e
m
be
r
2017:
7
3
7
–
7
3
9
738
2.
P
r
o
p
o
se
d
M
eth
o
d
Lo
w
-
pa
s
s
f
i
l
t
ered
s
i
gn
a
l
ha
v
i
ng
s
om
e
hi
g
h
f
r
eq
ue
nc
y
i
nf
or
m
ati
on
b
ec
au
s
e
t
he
an
al
y
s
i
s
f
i
l
ter
ba
nk
ha
s
f
i
ni
te
f
i
l
t
er
tap
s
an
d
a
l
s
o
s
om
e
l
ow
f
r
eq
ue
nc
y
i
nf
orm
ati
on
i
s
ob
t
ai
ne
d
f
r
om
hi
g
h
pa
s
s
f
i
l
tere
d
s
i
g
na
l
.
S
am
e
ph
as
e
ha
s
d
o
w
n
s
am
pl
i
ng
the
bo
t
h
h
i
gh
-
p
as
s
an
d
l
o
w
-
p
as
s
f
i
l
tered
s
i
gn
a
l
s
b
ut
s
ti
l
l
r
em
ai
ns
s
om
e
c
orr
el
ati
o
n
t
ho
u
gh
,
th
ere
wi
l
l
b
e
c
orr
e
l
at
i
on
at
l
o
w
w
h
i
l
e
do
wn
s
a
m
pl
i
n
g
b
y
v
ar
i
ou
s
p
ha
s
e
s
.
I
m
ag
e
en
h
an
c
em
en
t
i
s
d
on
e
us
i
ng
DT
MB
W
T
tec
hn
i
qu
e
to
ob
t
ai
n
a
r
es
ol
ut
i
on
-
e
nh
an
c
ed
i
m
ag
e
.
Res
ul
ts
s
ho
w
tha
t
the
pro
po
s
ed
tec
h
ni
q
ue
p
erf
or
m
s
be
tte
r
th
an
th
e
ex
i
s
ti
n
g
w
a
v
e
l
et
m
eth
od
s
i
n
te
r
m
s
o
f
th
e P
S
NR.
F
i
gu
r
e
1.
B
l
oc
k
Di
ag
r
am
of
th
e
P
r
op
os
e
d
S
y
s
tem
F
i
gu
r
e
1
s
ho
w
s
the
b
l
o
c
k
di
ag
r
am
o
f
the
propos
ed
s
ate
l
l
i
t
e
i
m
ag
e
r
es
ol
ut
i
o
n
en
ha
nc
em
en
t
s
y
s
tem
.
A
n
i
np
ut
i
m
ag
e
i
s
de
c
om
po
s
ed
b
y
DT
MB
W
T
to
ge
t
hi
gh
-
f
r
eq
ue
nc
y
s
ub
ba
nd
s
.
T
he
h
i
gh
-
f
r
eq
ue
nc
y
s
ub
ba
n
ds
an
d
the
l
o
w
-
r
es
ol
ut
i
o
n
i
n
pu
t
i
m
ag
e
are
i
nte
r
po
l
at
ed
.
T
wo
di
f
f
erent D
W
T
de
c
o
m
po
s
i
ti
on
s
are us
e
d t
o c
al
c
u
l
at
e t
h
e c
om
pl
ex
trans
f
or
m
us
i
ng
DT
MB
W
T
.
3.
E
xper
i
men
t
al
R
es
u
lt
s
Num
be
r
of
w
el
l
-
k
no
wn
s
ate
l
l
i
te
tes
t
i
m
ag
es
i
s
ex
pe
r
i
m
en
te
d.
T
hi
s
s
ec
ti
on
te
l
l
s
ab
ou
t
th
e
ex
pe
r
i
m
en
tal
r
es
ul
ts
of
th
e
propos
ed
c
on
tr
as
t
en
h
a
nc
em
en
t
f
or
s
ate
l
l
i
t
e
i
m
ag
es
.
P
S
NR
i
s
ca
l
c
ul
a
ted
us
i
n
g s
ate
l
l
i
te
i
m
ag
e.
(
a)
(
b)
(
c
)
Fi
gu
r
e
2.
(
a) I
np
ut
Im
ag
e,
(
b) En
ha
nc
e
d I
m
ag
e a
n
d (c
)
Rec
on
s
tr
uc
te
d I
m
ag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJE
E
CS
IS
S
N:
2
50
2
-
4
75
2
S
ate
l
l
i
te
Im
ag
e
E
n
ha
nc
e
me
nt
us
i
ng
D
ua
l
Tr
ee
M
-
B
a
nd
W
av
el
et
T
r
an
s
form
(
C
P
eri
y
as
am
y
)
739
S
ate
l
l
i
te
i
np
u
t
i
m
ag
e
a
nd
ou
tp
ut
i
m
ag
es
are
s
ho
wn
i
n
be
l
o
w
f
i
gu
r
e.
O
ur
r
es
ul
ts
s
ho
w
tha
t t
he
propos
e
d t
ec
h
ni
qu
e p
r
o
v
i
d
es
r
el
i
ab
l
e
i
m
prov
e
m
en
ts
. P
r
op
os
ed
P
S
NR
v
al
ue
i
s
36
.8
5 d
b.
4.
Co
n
clus
ion
s
DT
MB
W
T
do
m
ai
n
ba
s
ed
i
m
ag
e
r
es
ol
uti
on
e
nh
a
nc
e
m
en
t
al
go
r
i
thm
i
s
pres
en
ted
.
Inp
ut
i
m
ag
es
are
de
c
om
po
s
ed
us
i
ng
t
hi
s
pro
po
s
e
d
tec
hn
i
qu
e.
T
he
n
de
c
om
po
s
ed
i
m
ag
es
are
en
ha
nc
ed
an
d
f
i
na
l
l
y
r
ec
o
ns
tr
uc
ted
us
i
n
g
i
n
v
ers
e
DT
MB
W
T
.
O
ur
r
es
ul
ts
ha
v
e
s
ho
w
n
th
at
the
propos
e
d
m
eth
od
ou
t
pe
r
f
or
m
s
c
on
s
erv
at
i
v
e
i
m
ag
e
e
nh
an
c
em
en
t
ap
proac
h
es
.
F
i
gu
r
e
2
s
ho
w
s
the
pro
po
s
e
d i
np
ut
an
d res
ul
ta
nt
i
m
ag
es
.
Ref
er
en
ce
s
[1
]
Si
n
g
h
H
&
Ku
m
a
r
A.
S
a
te
l
l
i
t
e
i
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t
u
s
i
n
g
b
e
ta
wav
e
l
e
t
b
a
s
e
d
g
a
m
m
a
c
o
rre
c
t
ed
a
d
a
p
t
i
v
e
k
n
e
e
tra
n
s
f
o
rm
a
ti
o
n
.
IEEE
In
te
rn
a
t
i
o
n
a
l
Con
fe
re
n
c
e
o
n
Com
m
u
n
i
c
a
ti
o
n
a
n
d
Si
g
n
a
l
Pro
c
e
s
s
i
n
g
.
2016
:
0
1
2
8
-
0
1
3
2
.
[2
]
Cou
m
a
r
SO
&
Ros
a
ri
o
VV.
Co
n
tra
s
t
En
h
a
n
c
e
m
e
n
t
o
f
Sa
t
e
l
l
i
t
e
Im
a
g
e
s
Us
i
n
g
Ad
v
a
n
c
e
d
Bl
o
c
k
Ba
s
e
d
D
W
T
T
e
c
h
n
i
q
u
e
.
In
te
r
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
En
g
i
n
e
e
ri
n
g
a
n
d
F
u
tu
re
Te
c
h
n
o
l
o
g
y
.
2
0
1
6
;
3
(
3
):
1
-
10.
[3
]
T
h
ri
v
e
n
i
R.
Ed
g
e
p
re
s
e
rv
i
n
g
Sa
te
l
l
i
t
e
i
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t
u
s
i
n
g
D
W
T
-
PCA
b
a
s
e
d
f
u
s
i
o
n
a
n
d
m
o
rp
h
o
l
o
g
i
c
a
l
g
ra
d
i
e
n
t
.
IEEE
In
te
rn
a
ti
o
n
a
l
C
o
n
fe
r
e
n
c
e
o
n
E
l
e
c
tr
i
c
a
l
,
Co
m
p
u
te
r
a
n
d
Co
m
m
u
n
i
c
a
t
i
o
n
T
e
c
h
n
o
l
o
g
i
e
s
.
2
0
1
5
:
1
-
5.
[4
]
J
a
d
h
a
v
BD
&
P
a
ti
l
PM
.
An
e
ff
e
c
t
i
v
e
m
e
th
o
d
f
o
r
s
a
te
l
l
i
t
e
i
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t
.
IEEE
In
te
rn
a
t
i
o
n
a
l
Con
fe
re
n
c
e
o
n
Co
m
p
u
t
i
n
g
,
Co
m
m
u
n
i
c
a
ti
o
n
&
Au
to
m
a
ti
o
n
.
2
0
1
5
:
1
1
7
1
-
1
1
7
5
.
[5
]
Sh
a
rm
a
N,
Ve
rm
a
O
P.
G
a
m
m
a
c
o
rre
c
ti
o
n
b
a
s
e
d
s
a
te
l
l
i
te
i
m
a
g
e
e
n
h
a
n
c
e
m
e
n
t
u
s
i
n
g
s
i
n
g
u
l
a
r
v
a
l
u
e
d
e
c
o
m
p
o
s
i
t
i
o
n
a
n
d
d
i
s
c
re
t
e
wav
e
l
e
t
tra
n
s
f
o
rm
.
IEEE
I
n
te
rn
a
t
i
o
n
a
l
Co
n
fe
re
n
c
e
o
n
Ad
v
a
n
c
e
d
Com
m
u
n
i
c
a
ti
o
n
Co
n
tro
l
a
n
d
C
o
m
p
u
ti
n
g
T
e
c
h
n
o
l
o
g
i
e
s
.
2
0
1
4
:
1286
-
1
2
8
9
.
[6
]
Ae
d
l
a
R.
Sa
t
e
l
l
i
te
i
m
a
g
e
c
o
n
tr
a
s
t
e
n
h
a
n
c
e
m
e
n
t
a
l
g
o
r
i
th
m
b
a
s
e
d
o
n
p
l
a
te
a
u
h
i
s
to
g
r
a
m
e
q
u
a
l
i
z
a
t
i
o
n
”.
IEEE
Reg
i
o
n
1
0
S
y
m
p
o
s
i
u
m
.
2014
:
213
-
218.
[7
]
Upa
d
h
y
a
y
A,
Sh
e
tt
y
A,
Si
n
g
h
SK
a
n
d
Si
d
d
i
q
u
i
Z.
M
a
rc
h
.
L
a
n
d
u
s
e
a
n
d
l
a
n
d
c
o
v
e
r
c
l
a
s
s
i
fi
c
a
ti
o
n
o
f
L
ISS
-
II
I
s
a
te
l
l
i
te
i
m
a
g
e
u
s
i
n
g
KNN
a
n
d
d
e
c
i
s
i
o
n
tre
e
.
C
o
m
p
u
ti
n
g
fo
r
Su
s
ta
i
n
a
b
l
e
G
l
o
b
a
l
D
e
v
e
l
o
p
m
e
n
t
(INDIACom
),
2
0
1
6
3
rd
I
n
te
rn
a
t
i
o
n
a
l
Con
f
e
re
n
c
e
o
n
,
IEEE
.
2
0
1
6
:
1
2
7
7
-
1
2
8
0
.
[8
]
Upa
d
h
y
a
y
A,
Si
n
g
h
SK
,
Ka
m
b
l
i
S.
Co
m
b
i
n
e
te
c
h
n
i
q
u
e
fo
r
c
l
a
s
s
i
fi
c
a
ti
o
n
o
f
IRS
P6
L
ISS
-
II
I
s
a
t
e
l
l
i
te
i
m
a
g
e
s
.
In
te
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Con
tro
l
T
h
e
o
r
y
a
n
d
Ap
p
l
i
c
a
t
i
o
n
s
.
2
0
1
6
;
9
(
1
0
)
:
4
2
9
3
-
4
2
9
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.