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