Classification of RISAT MRS Data with BM3D Algorithm
K. Radhika1, Y. Murali Mohan Babu2, SK.M.Shahina3
1K.Radhika, Department of ECE, GIST, Nellore (A.P), India.
2Y.Murali Mohan Babu, Department of ECE, SITAMS, Chittoor (A.P), India.
3SK.M.Shahina, Assistant Professor, Department of ECE, GIST, Nellore (A.P), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 104-106 | Volume-8 Issue-5, March 2019 | Retrieval Number: E2878038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this Paper, It has been proposed a de-speckling method on Indian Synthetic-aperture radar (SAR) image with block matching 3D transformation and has been used for classification method. This block- matching 3D algorithm clearly explained how to generate de-speckling of SAR image for classification. In this technique has been tested on RISAT-1 SAR image data set and practical results exhibit that this technique is the better in terms of de speckling quality image factors. The despeckled image has been fused with LANSAT-8 optical image. The resultant multi spectral and good resolution image has been classified using supervised classification.
Keyword: Synthetic-Aperture Radar, De-Speckling, Block Matching 3D Algorithm.
Scope of the Article: Classification