Statistical Approach for Classification of SAR Images
Debabrata Samanta1, Goutam Sanyal2
1Debabrata Samanta, Department of CSE, National Institute of Technology, Durgapur, Mahatma Gandhi Avenue, West Bengal, India.
2Goutam Sanyal, Department of CSE, National Institute of Technology, Durgapur, Mahatma Gandhi Avenue, West Bengal, India – 713209.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 152-155 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0549042212/2012©BEIESP
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© The Authors. Published By: 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: The statistical parameters contain high order image statistics which portray the outline and symmetry of the different image region. The good feat of recognition algorithms based on the quality of classified image. The main problem in SAR image function is accurate classification. In this paper a novel methodology has been carried out to classify SAR images using the statistical approach based on skewness. A comparison has been carried out with histogram based classification on same images for measuring the accuracy.
Keywords: SAR image, Skewness, symmetrical, normal distribution.