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Knowledge-based, Automated Land Use/Land Cover Mapping Using Resourcesat-1 AWiFS

S. Subramaniam

Abstract


The availability of large quantity of data from high-resolution space-based sensors along with the existing archives surpassed our ability to extract information from all the data using supervised image analysis techniques. Hence there is a need for automated image classifier with high throughput. Knowledge-based, modular, hierarchical decision-based classifier suitable for the analysis and extraction of major land use/land cover classes from IRS Resourcesat AWiFS data has been developed and the results are encouraging.

 

Keywords: Knowledge base, IRS, automation, multi-spectral, classification, land use, land cover, mapping

 


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eISSN: 2230-7990