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      The Pixel-similarity Measurement in SAR Image Despeckling

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          Abstract

          The Pixel Relativity (PR) measurement of SAR image, which is the key of the despeckling techniques based on weighted average, is researched in three aspects. Firstly, the rationality of ratio PR model is expounded, and two new ratio PR models, which are the LOG-domain Gaussian model and the pixel similarity probability model, are proposed. Meanwhile, the Probability Density Function (PDF) of SAR image and the PDF of the ratio between pixels are transformed into ratio PR models. Then, in order to evaluate the four ratio PR models, the weighted maximum likelihood filters are designed using the PR. Finally, a novel method, performed by calibrating the maximum location of the PR model, is introduced to improve the radiation preservation of those models whose maximum do not locate at 1. The effectiveness of the two proposed PR models and the approach to calibrate the maximum location of the PR model, are indicated by the theoretical analysis and experimental comparison.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 September 2012
          : 1
          : 3
          : 301-308
          Affiliations
          [1 ] Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences
          [2 ] College of Information Engineering, Inner Mongolia University of Technology
          Article
          493a0e1494d24891b57c89468425da36
          10.3724/SP.J.1300.2012.20025

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

          Remote sensing, Electrical engineering

          SAR image, Ratio, Pixel Relativity (PR), Despeckling

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