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Article

Speckle Noise Suppression in SAR Images Using a Three-Step Algorithm

by 1,†, 1,†, 1,*,†, 2,† and 3,†
1
School of Electronic and Information Engineering, Beihang University, Beijing 100083, China
2
Department of Electronic & Electrical Engineering, University of Sheffield, Sheffield S1 4ET, UK
3
School of Electronic Engineering, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2018, 18(11), 3643; https://doi.org/10.3390/s18113643
Received: 22 September 2018 / Revised: 16 October 2018 / Accepted: 25 October 2018 / Published: 27 October 2018
(This article belongs to the Section Remote Sensors)
Speckle noise can reduce the image quality of synthetic aperture radar (SAR) and complicate image interpretation. This study proposes a novel three-step approach based on the conventional probabilistic patch-based (PPB) algorithm to minimize the impact of bright structures on speckle suppression. The first step improves the calculation accuracy of the weight by pre-processing speckle noise with a linear minimum mean-square error filter and reassessing similarity between pixels. In the second step, an iterative method is developed to avoid interfering with bright structures and acquires a more accurate homogeneous factor by adaptively changing the size of the search window. In the final step, the spreading and blurring of bright structures is corrected using a modified bias-reduction technique. Experimental results demonstrate the proposed algorithm has improved performance for both speckle suppression and preservation of edges and textures, evaluated by indicators including the equivalent number of looks, the edge preservation index, the mean, and standard deviation of ratio images. View Full-Text
Keywords: synthetic aperture radar (SAR); speckle noise; non-local filtering; probabilistic patch-based (PPB) synthetic aperture radar (SAR); speckle noise; non-local filtering; probabilistic patch-based (PPB)
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MDPI and ACS Style

Yu, Z.; Wang, W.; Li, C.; Liu, W.; Yang, J. Speckle Noise Suppression in SAR Images Using a Three-Step Algorithm. Sensors 2018, 18, 3643. https://doi.org/10.3390/s18113643

AMA Style

Yu Z, Wang W, Li C, Liu W, Yang J. Speckle Noise Suppression in SAR Images Using a Three-Step Algorithm. Sensors. 2018; 18(11):3643. https://doi.org/10.3390/s18113643

Chicago/Turabian Style

Yu, Ze, Wenqi Wang, Chunsheng Li, Wei Liu, and Jian Yang. 2018. "Speckle Noise Suppression in SAR Images Using a Three-Step Algorithm" Sensors 18, no. 11: 3643. https://doi.org/10.3390/s18113643

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