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Sensors 2018, 18(7), 2262; https://doi.org/10.3390/s18072262

A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Received: 21 May 2018 / Revised: 8 July 2018 / Accepted: 10 July 2018 / Published: 13 July 2018
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
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Abstract

A novel segmentation algorithm for polarimetric synthetic aperture radar (PolSAR) images is proposed in this paper. The method is composed of two essential components: a merging order and a merging predicate. The similarity measured by the complex-kind Hotelling–Lawley trace (HLT) statistic is used to decide the merging order. The merging predicate is determined by the scattering characteristics and the revised Wishart distance between adjacent pixels, which can greatly improve the performance in speckle suppression and detail preservation. A postprocessing step is applied to obtain a satisfactory result after the merging operation. The decomposition and merging processes are iteratively executed until the termination criterion is met. The superiority of the proposed method was verified with experiments on two RADARSAT-2 PolSAR images and a Gaofen-3 PolSAR image, which demonstrated that the proposed method can obtain more accurate segmentation results and shows a better performance in speckle suppression and detail preservation than the other algorithms. View Full-Text
Keywords: PolSAR; segmentation; HLT statistic; scattering characteristics; revised Wishart distance PolSAR; segmentation; HLT statistic; scattering characteristics; revised Wishart distance
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Yi, H.; Yang, J.; Li, P.; Shi, L.; Lang, F. A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance. Sensors 2018, 18, 2262.

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