Abstract

Remote sensing is an area of science in which information about objects or areas from a distance, typically from aircraft or satellites are obtained. Many approaches for studying hyperspectral images focus on the spectral information in individual image cells, rather than spatial distinctions within individual bands or groups of bands. The objective of the undertaken work is to exploit segmentation based Statistical Region Merging algorithm and conduct Texture Analysis for the spatial-spectral classification of hyperspectral images.