J4 ›› 2015, Vol. 42 ›› Issue (3): 148-153+204.doi: 10.3969/j.issn.1001-2400.2015.03.025

• Original Articles • Previous Articles     Next Articles

Fast Bayesian non-local means of polarimetric  SAR image despeckling

CHEN Jianhong1;ZHAO Yongjun1;SHI Yinshui2;LIU Wei1   

  1. (1. School of Navigation and Aerospace Engineering, Information Engineering Univ., Zhengzhou  450001,  China;
    2. Dept. of Reconnaissance & Early Warning, Air Defense College, Zhengzhou  450052, China)
  • Received:2014-04-15 Online:2015-06-20 Published:2015-07-27
  • Contact: CHEN Jianhong E-mail:gycjh2010@163.com

Abstract:

Based on the Bayesian non-local means of the single polarization SAR, block similarity measurement of the polarimetric coherence matrix is derived by combining with the polarimetric coherence matrix adhering to complex Wishart distribution. The polarimetric SAR Bayesian non-local means model is given without prior knowledge. Then its fast algorithm is realized using the integral image. Finally, we verify the proposed algorithm with a full polarimetric image from AIRSAR to San Francisco district. Experimental results from real Polarimetric SAR data show that the proposed algorithm not only despeckes effectively but also preserves polarimetric information well. Besides, computing efficiency is improved greatly.

Key words: synthetic aperture radar, polarization, speckle, non-local means, Bayesian

CLC Number: 

  • TP75

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