Despeckling PolSAR images with an adaptive bilateral filter

Liu Liu; Fang Zhou; Jing Chen; Xuezhi Yang; Lu Jia; Zhangyu Dong; Jiaqiu Ai

doi:10.1117/1.JRS.11.020501

23 June 2017 Despeckling PolSAR images with an adaptive bilateral filter

Liu Liu, Fang Zhou, Jing Chen, Xuezhi Yang, Lu Jia, Zhangyu Dong, Jiaqiu Ai

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 020501 (June 2017). https://doi.org/10.1117/1.JRS.11.020501

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.

Citation Download Citation

Liu Liu, Fang Zhou, Jing Chen, Xuezhi Yang, Lu Jia, Zhangyu Dong, and Jiaqiu Ai "Despeckling PolSAR images with an adaptive bilateral filter," Journal of Applied Remote Sensing 11(2), 020501 (23 June 2017). https://doi.org/10.1117/1.JRS.11.020501

Received: 19 January 2017; Accepted: 6 June 2017; Published: 23 June 2017

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