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Despeckling PolSAR images with an adaptive bilateral filter

[+] Author Affiliations
Liu Liu, Fang Zhou, Jing Chen, Xuezhi Yang, Lu Jia, Zhangyu Dong, Jiaqiu Ai

Hefei University of Technology, School of Computer and Information, Hefei, Anhui, China

J. Appl. Remote Sens. 11(2), 020501 (Jun 23, 2017). doi:10.1117/1.JRS.11.020501
History: Received January 19, 2017; Accepted June 6, 2017
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Abstract.  An improved bilateral filter with adaptive parameters estimation in space domain and polarimetric domain for polarimetric synthetic aperture radar (PolSAR) image despeckling, named PolSAR adaptive bilateral filtering (PABF), is proposed. On one hand, PABF sets the spatial parameter adaptively according to the local coefficient of variation. On the other hand, the polarimetric parameter is adjusted adaptively on the basis of the noise variance estimated from the convolution between the intensity image and Laplacian template. The experiments performed on simulated and real PolSAR data show that PABF effectively suppresses speckles while maintaining important details of images.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Liu Liu ; Fang Zhou ; Jing Chen ; Xuezhi Yang ; Lu Jia, et al.
"Despeckling PolSAR images with an adaptive bilateral filter", J. Appl. Remote Sens. 11(2), 020501 (Jun 23, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.020501


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