Implementation of supervised SID algorithm in preparation of map of geological units

Abstract

Using remote sensing technology and satellite data often reduces the expenses and increases the speed and accuracy. Providing the map of geological units has improved so that detection and classification of geological units. In this research, it was done by hyperspectral image, related to Khoramabad zone, Lorestan, and also by applying the SID (Spectral Information Divergence) supervised classification algorithm for detection and separation of geological units. After the necessary pre-processes, the MNF conversion and the PPI algorithm were used for reducing data and extracting the pure pixels on the image. Then extracted for each member by the overlay of pure pixels with geological units and ground data, these pure members were used as input for the mentioned algorithm and the image was classified. Finally, the classification accuracy of this method (66/71) was obtained.