A Comparative Analysis on the Applicability of Entropy in remote sensing

lib:f49704ffc9c32008 (v1.0.0)

Authors: Dr. S. K. Katiyar,Arun P. V.
ArXiv: 1303.6926
Document:  PDF  DOI 
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 and registration.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Crowd-benchmarking tools Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!