Dr. S. K. Katiyar,Arun P. V.
Abstract URL: http://arxiv.org/abs/1303.6926v1
Entropy is the measure of uncertainty in any data and is adopted for
maximisation of mutual information in many remote sensing operations. The
availability of wide entropy variations motivated us for an investigation over
the suitability preference of these versions to specific operations.
Methodologies were implemented in Matlab and were enhanced with entropy
variations. Evaluation of various implementations was based on different
statistical parameters with reference to the study area The popular available
versions like Tsalli's, Shanon's, and Renyi's entropies were analysed in
context of various remote sensing operations namely thresholding, clustering