INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.4, No.12, Nov. 2012

Classification of SAR Images Based on Entropy

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Author(s)

Debabrata Samanta, Goutam Sanyal

Index Terms

Entropy, SAR Image, Multi-Nominal Region, Grouped–Entropy value

Abstract

SAR image classification is the progression of separating or grouping an image into different parts. The good feat of recognition algorithms based on the quality of classified image. The good recital of recognition algorithms depend on the quality of classified image. The proposed classification method is hierarchical: classes which are difficult to distinguish are grouped.An important problem in SAR image application is accurate classification. In this paper, we developed a new methodology of SAR image Classification by Entropy. The severance between different groups or classes is based on logistic and multi-nominal regression, which finds the best combination of features to make the separation and at the same time perform a feature selection depending on Grouped –Entropy value.

Cite This Paper

Debabrata Samanta, Goutam Sanyal,"Classification of SAR Images Based on Entropy", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.12, pp.82-86, 2012. DOI: 10.5815/ijitcs.2012.12.09

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