Performance analysis of IRS-hands for land use land cover classification system using maximum likelihood classifier

The allocation of confidence level to a classification product is considered to be essential. The acquisition of site-specific data to check the classification was discussed. A statistical approach to the determination of an appropriate confidence level from the check data was presented. The test scene was classified using Maximum likelihood classification with various band combinations. These combinations were used as statistical variables. The results are analysed and the best possible combinations selected for accurate classification system. Keeping the percentage overall accuracy in view, these tests demonstrated the complexity of relations between the land cover classes and the data processing variables. Further, they indicated the variables best suited to the classification of certain classes, based on the performance of variable by class. Here, Hyderabad City is taken as a test site.