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A Comparative Analysis of Novel Approach Based on Wavelet Transform Used for Compression of Various Bands of SAR Imagery

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The Compression in SAR image is a crucial phenomenon as it deals with large amount of information and requires large bandwidth for communication. A novel approach is required not only to compress the SAR image but also to retain the structural features and textural information of SAR image. This paper uses the novel approach and compares the performance of various bands used in SAR imagery in terms of compression ratio and entropy. The paper compares compression performance of SAR imagery using different wavelets like Daubechies, Biorthogonal, Coiflets and symlets. Based on the result, it is found that this approach compresses the data to some extent but high compression rate is still required for better spatial resolution of SAR imagery.
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Keywords: Biorthogonal; Coiflets; Daubechies; Image Compression; SAR Image; Symlet

Document Type: Research Article

Affiliations: 1: Department of Electronics, Banasthali Vidyapeeth, Banasthali, Rajasthan, India 2: Department of Physics, University of Rajasthan, Jaipur, India

Publication date: November 1, 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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