Polarimetric SAR Speckle Reduction Based on Bilateral Filtering

Abstract

The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR. Based on the multiplicative noise model and complex matrix, an effective distance similarity measure method is derived, which can process covariance matrix C or coherent matrix T directly. Experiments show that this method can effectively reduce speckle and maintain the polarization information, point targets, and texture structure. Moreover, it can handle large polarimetric SAR with simplicity and ease.

Journal

Title: Journal of Radars

Publisher: Chinese Academy of Sciences

Publication date (Electronic): 01 February 2014

Volume: 3

Issue: 1

Pages: 35-44

Affiliations

[1 ] Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University

Article

Doaj ID: b6251e01976543e3ba79730994bce4e2

DOI: 10.3724/SP.J.1300.2014.13133

License:

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/

Product

Self URI: http://radars.ie.ac.cn/EN/abstract/abstract161.shtml#

Self URI (journal page): http://radars.ie.ac.cn/EN/volumn/home.shtml

Categories

Subject: Technology (General)

Subject: T1-995