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Abstract
Introduction
1. Hard Classification Algorithms
	1.1	Gaussian Maximum Likelihood Classifier (GMLC)
	1.2	Spectral Angle Mapper (SAM)
	1.3	Neural Network
	1.4	Decision Tree Approach
	1.5	Clustering
2. Data and Study Area
3. Methodology
4. Results and Discussion
	4.1	Land Cover Analysis using LISS-3 MSS
	4.2	Land Cover Analysis using MODIS data
	4.3	Classification of high resolution LISS-3 MSS data
	4.4	Classification of MODIS data
5. Accuracy Assessment
	5.1	Accuracy Assessment of LISS-3 classified map
	5.2	Accuracy Assessment of MODIS classified Maps
		5.2.1	Accuracy Assessment using Error matrix
		5.2.2	Comparison based on land cover class percentage area
		5.2.3	Pixel to pixel analysis with LISS-3 MSS classified image
Conclusion
References
Figures
Figure 1: Study area – Kolar district, Karnataka State, India
Figure 2(a): Supervised Classification using MLC on LISS-3 MSS
Figure 2(b): Supervised Classification using NN on MODIS bands 1 to 7
Figure 2(c): Supervised Classification using NN on PCs
Figure 2(d) : Supervised Classification using NN on MNF components.
Tables
Table 1: Percentage wise distribution of classes obtained from LISS-3 MSS (using MLC) and MODIS classification on Surface Reflectance Bands (1 to 7), Principal Components and MNF components of MODIS bands 1 to 36 using NN.
Table 2: Producer's accuracy, user's accuracy and overall accuracy of land cover classification using LISS-3 MSS data for Chikballapur Taluk.
Table 3: User's Accuracy of classified MODIS Data of Chikballapur taluk.
Table 4: Producer's Accuracy of classified MODIS Data of Chikballapur taluk.
Table 5: Overall Accuracy of classified MODIS Data of Chikballapur taluk.
Table 6: User's Accuracy obtained from pixel to pixel analysis with LISS-3 image comparison for Chikballapur taluk .
Table 7 : Producer's Accuracy obtained from pixel to pixel analysis with LISS-3 image comparison for Chikballapur taluk.
Table 8: Overall Accuracy of classified MODIS Data of Chikballapur taluk from pixel to pixel analysis with LISS-3 image comparison.
Acknowledgement
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