Comparative Study of MLH and SAM Classification Techniques using Multispectral Data of EO-1 Satellite

摘要

This paper presents a case study on classification of multispectral image in the Kajali Dongari near Meghnagar Jhabua Distt. Madhya Pradesh. The purpose of this research study is to find the feasible technique for mapping of research area. Preprocessing of ALI sensor of Earth observing 1(EO 1) satellite data is required for conversion from digital value to reflectance. MNF and PPI method is used for endmember fraction. For vegetation endmember fraction can be easily extracted by NDVI image. Maximum LikeHood (MLH) and Spectral Angle Mapper (SAM) techniques are used for classification. Finally study area is classified in five feature namely natural rocks, exploited rock, vegetation, soil, and water. After analysis of results, Research area would be classified with better accuracy by SAM technique and area of rock is 55.827%, exploited rock is 12.106%, water is 0.841%, vegetation is 11.564% and soil is 19.685% of total area of research field.