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Classification of Polari Metric SAR (POlSAR) Image Analysis using Decomposition Techniques

Published on August 2016 by M. A. Shaikh, P. W. Khirade, S. B. Sayyad
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National Conference on Digital Image and Signal Processing
Foundation of Computer Science USA
NCDISP2016 - Number 1
August 2016
Authors: M. A. Shaikh, P. W. Khirade, S. B. Sayyad

M. A. Shaikh, P. W. Khirade, S. B. Sayyad . Classification of Polari Metric SAR (POlSAR) Image Analysis using Decomposition Techniques. National Conference on Digital Image and Signal Processing. NCDISP2016, 1 (August 2016), 20-23.

@article{
author = { M. A. Shaikh, P. W. Khirade, S. B. Sayyad },
title = { Classification of Polari Metric SAR (POlSAR) Image Analysis using Decomposition Techniques },
journal = { National Conference on Digital Image and Signal Processing },
issue_date = { August 2016 },
volume = { NCDISP2016 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 20-23 },
numpages = 4,
url = { /proceedings/ncdisp2016/number1/25849-1630/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Digital Image and Signal Processing
%A M. A. Shaikh
%A P. W. Khirade
%A S. B. Sayyad
%T Classification of Polari Metric SAR (POlSAR) Image Analysis using Decomposition Techniques
%J National Conference on Digital Image and Signal Processing
%@ 0975-8887
%V NCDISP2016
%N 1
%P 20-23
%D 2016
%I International Journal of Computer Applications
Abstract

The classification of Polarimetric Synthetic Aperture Radar (PolSAR) image using a different decomposition technique has become a very important task after availability of data. In this paper RADARSAT-2 C-band fully polarimetric SAR data is used. This data was in SLC (single look complex) format and was not geocoded. In the present paper different decomposition techniques applied on RADARSAT-2 data for city of British Columbia, Vancouver, Canada and later classified the data using various classification techniques like H-alpha, Wishart H-alpha and Wishart H-A-alpha. The PolSAR classified image analysis is done on the basis of image parameters like Mean, Median, Standard Deviation and Coefficient Variation. From the result, it is observed that the for classification analysis Wishart H-A-alpha classified image is better than H-alpha and Wishart H-alpha classified image.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sar Polsar Decomposition Technique Classification.