IX-B8, 2012 
ges were used 
> both the data 
acy assessment 
onducted using 
). 
"Ill Image 
  
  
ISS-III image 
s indices along 
iccuracy of the 
ALCM module 
age Classifier 
| The ALCM 
spectral images 
xel level using 
a sets for five 
  
  
  
  
À VI TVI 
).93 86.89 
.64 83.88 
1.27 91.58 
  
  
  
indices NDVI, 
s when applied 
ıracy was from 
o overall fuzzy 
ce sets for five 
been observed 
ering maturity, 
> the same or 
atasets, it will 
crimination. 
[interest using 
 multi-spectral 
n this work is 
' Maharashtra 
WiFS (coarser 
dium coarser) 
) satellite. The 
dices has been 
| classification 
    
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia 
approach and fuzzy accuracy assessment has been carried out 
using FERM. It is found that the maximum accuracy achieved 
was 96.02% for TNDVI index of dataset 2. According to 
results obtained from this work, selection of suitable temporal 
data sets, appropriate band ratio and use of fuzzy based 
classifiers, helps in handling mixed pixels in coarser data sets. 
SET 2 
  
NDVI 
  
SR 
  
  
TNDVI 
  
  
TVI 
  
us Membership Value 
Figure 4:Output showing cotton crop using Noise Classifier 
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