selected from 8 
, principal component 
ing data, resampling 
Is of above mentioned 
is composed of selec- 
8 bands. n=l,2,...,8. 
ands or 2 or more bands 
symbol C6B represents 
mposed of 6 bands out 
28 possible combina- 
and 5, 7, 8, 9, 10, 11 
it has the highest 
e total band combina- 
ination of CnB. 
is composed of selec- 
omponent transforma- 
ination of PmB. 
is composed of selec- 
usly stated 8 ratio 
3 RESULTS 
3.1 Classification results 
The imageries selected from 60 training areas were 
approximately grouped into 3 categories, cryptomeria 
plantations, conifers and mixed conifers plantations 
and miscellaneous group (hardwoods, bamboo etc.). 
According to their statistical and spatial related 
ness, 29 cover type classes were obtained in the 
study area. The data of the 29 classes were put into 
the ISOCLA function in IDIMS, cluster classes from 
the same cover type whose interclass statistical 
distance were less than the chosen threshold, i.e., 
a transformed divergence less then 1800, were grouped 
together. 29 cover types were combined into 23. 
(table 4). The parameters used in ISOCLA function 
were STDMAX:4.5; DLMIN:3.2; MAXCLS:35; NMIN:30; and 
ISTOP:10. 
Among the 23 classes, there were several similar 
classes. Then the MAP, LPMAP and TRANSFER functions 
in IDIMS were used to combine the 512x312 pixels 
study area into 12 classes. 
ination of RnB. 
which is selected from 
nB; 3 principal com- 
st band combinations 
PCi, PC 2 , PC 3 , 10/8, 
ination of AnB. 
d combination of CnB. 
aination of AVnB. 
ction, average diver- 
e used as the ranking 
ergences, 47 best band 
above mentioned 
riances and covariance 
ions were input to a 
tiich was used to 
ypes. 
t the accuracy of a 
i is in the form of 
k is a square array 
columns which express 
3 a particular land- 
al land cover as 
aterpreted aerial 
f represent the 
a rows indicate the 
asses. 
a generated, both 
auracy are computed. 
c correctly 
In a class , nn 
aumber of 
a that class 
: pixels that were 
articular surface 
aation. But it is 
ression of the error 
a error must combine 
me summary measure 
a in class pattern 
a well as additions 
3 (Kalensky et al., 
ised the mapping 
100 
ed pixels in 
n class I 
¡sions) 
3.2 Best band combination determination 
As previously stated, the best band combination is 
Table 4. 23 cover type classes 
Class 
No. 
Code 
Species 
Age 
class 
Slope 
class 
Aspect 
1 
A 
Cryptomeria 
plantation 
4 
4 
North 
2 
C 
Cryptomeria 
plantation 
2 
6 
Northwest 
3 
D 
China-fir 
plantation 
2 
7 
West 
4 
E 
Cryptomeria 
plantation 
3 
7 
North 
5 
G 
Natural hardwoods 
4 
Southeast 
6 
H 
Moso bamboo 
2 
North 
7 
I 
Natural hardwoods 
6 
Northwest 
8 
J 
Taiwania 
plantation 
1 
3 
East 
9 
К 
Moso bamboo 
4 
East 
10 
M 
Taiwan 
red cypress 
5 
4 
West 
11 
N 
Taiwan 
red cypress 
5 
5 
Northwest 
12 
0 
Moso bamboo 
2 
Southeast 
13 
P 
Ma bamboo 
3 
Northwest 
14 
Q 
Natural hardwoods 
6 
Northwest 
15 
R 
Nursery 
3 
Northwest 
16 
S 
Parking lot 
3 
Northwest 
17 
T 
Mixed conifer 
plantation 
2 
7 
Southeast 
18 
и 
China-fir 
plantation 
2 
2 
Northeast 
19 
V 
Taiwan incense- 
cedar plantation 
3 
3 
North 
20 
w 
Conifers & hard 
woods plantation 
2 
4 
East 
21 
X 
Mixed conifers 
1 
4 
North 
22 
Y 
Conifers & hard 
woods plantation 
1 
3 
North 
23 
Z 
Mixed conifers 
2 
3 
North 
determined via divergences. All the band combinations, 
i.e., CnB, PmB, RnB, AnB, AVnB and their resampling 
data were introduced to the divergence module and 
a request was made for the best band combination to 
be ranked according to average divergence and minimum 
divergence. The average divergence is the average 
interclass divergence for all pairwise combinations 
of cover type classes. The band combination offering 
the highest average divergence is then ranked first. 
On the other hand, minimum divergence determines the 
lowest interclass divergence for each and every band 
combination. That combination possessing the highest 
minimum interclass divergence is then ranked first. 
The 47 best band combinations are shown in table 5. 
Table 5. 47 best band combinations 
Code 
Band combination 
Remarks 
ClB 
C2B 
C3B 
C4B 
C5B 
C6B 
C7B 
C8B 
6 
5,9 
6,8,9 
5,8,9,11 
5,7,8,9,11 
5,7,8,9,10,11 
5,6,7,8,9,10,11 
4,5,6,7,8,9,10,11 
original band 
ClB-R 
C2B-R 
C3B-R 
C4B-R 
C5B-R 
C6B-R 
C7B-R 
C3B-R 
5 
5,9 
6,8,9 
5,8,9,11 
5,7,8,9,11 
5,7,8,9,10,11 
5,6,7,8,9,10,11 
4,5,6,7,8,9,10,11 
resampling 
original band 
PlB 
P2B 
P3B 
PCl 
PCi,PC 2 
PC, ,PC?,PC 3 
principal 
component 
transformation 
P3B-R 
PC,,PC?,PC, 
resampling PC 
RIB 
R2B 
R3B 
R4B 
R5B 
R6B 
R7B 
R8B 
10/8,7/9 
10/8,7/9,5/11 
10/8,7/9,9/11,4/7 
10/8,7/9,9/11,4/7,5/11 
10/8,7/9,10/5,9/11,4/7,5/11 
10/8,10/6,9-6/9+6,10/5,9/11,4/7,5/11 
10/8.10/6,7/9,9-6/946.10/5,9/11,4/7,5/11 
ratio image 
R8B-R 
10/8,10/6,7/9,9-6/946,10/5,9/11,4/7,5/11 
resampling 
ratio image 
A1B 
A2B 
A3B 
A4B 
A5B 
A6B 
A7B 
A8B 
PC! 
PCi,7/9 
PCi,PC 2 ,PC 3 
PC 2 ,PC 3 ,7/9,9 
PC 2 ,PC 3 ,10/8,7/9,9 
PC 2 ,10/8,7/9,5/11,5,9 
PC 2 ,PC 3 ,10/8,7/9,5/11,5,9 
рсьРСр.рс,, 10/8,7/9,5/11,5,9 
mixed band 
A8B-R 
PCi,PC 2 ,PC 3 ,10/8,7/9,5/11,5,9 
resampling 
' mixed band 
AV1B 
AV2B 
AV3B 
AV4B 
AV5B 
AV6B 
AV7B 
AV8B 
6 
5,9 
6,8,9 
5,8,9,11 
5,7,8,9,11 
5,7,8,9,10,11 
5,6,7,8,9,10,11 
4,5,6,7,8,9,10,11 
spatial 
filtering 
band 
AV8B-R 
4,5,6,7,8,9,10,11 
resampling 
filtering 
band 
Table 6. Divergences of C2B and C5B 
Code 
Average 
divergence 
Minimum 
divergence 
Rank 
Band 
combination 
C2B 
1790 
146 
1 
5,9 
1789 
114 
2 
5,10 
1784 
329 
3 
5,8 
C5B 
1965 
1111 
1 
5,7,8,9,11 
1965 
1018 
2 
5,7,8,10,11 
1963 
1115 
3 
5,6,8,9,11 
1963 
1089 
4 
5,8,9,10,11