Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2420
Title: | An Estimator for Compound-Gaussian Multilook SAR Clutter Amplitude with Inverse Gamma Texture |
Authors: | Mahapatra, D K Roy, L P |
Keywords: | Clutter Compound-Gaussian model Synthetic aperture radar (SAR) image Method of log-cumulants Mellin transform |
Issue Date: | Dec-2015 |
Publisher: | IEEE |
Citation: | 12th Annual IEEE India Conference (INDICON 2015), Jamia Nagar, New Delhi, 17-20 Dec 2015 |
Abstract: | In the context of synthetic aperture radar (SAR) data analysis, formulation of accurate models for clutter statistics is a crucial task. In this paper, compound-Gaussian distribution with inverse gamma texture (IΓ-CG), is presented for multilook SAR amplitude data. An estimator based on method of logcumulants (MoLC), which stems from the adoption of second kind statistics and Mellin transform is developed for estimating its parameters. The IΓ-CG model is validated by using multilook synthetic data and single look real clutter data of amplitude SAR images. Experimental results show that the IΓ-CG model outmatches the state-of-the-art pdfs that clearly demonstrates the applicability of the model. |
Description: | Copyright for this paper belongs to proceeding publisher |
URI: | http://hdl.handle.net/2080/2420 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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1570202387.pdf | 1.17 MB | Adobe PDF | View/Open |
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