Edge Detection of PolSAR Image Based on Stochastic Distance

doi:10.11947/j.AGCS.2015.20130810

Abstract

Abstract:

A new edge detection methodology in PolSAR images is proposed, which is based on stochastic distance in the statistical theory and combined with complex Wishart distribution. Its main principle is inspired from the phenomenon that stochastic distance of two classes separated by an edge is closely related to the edge direction and the contrast of two classes. Simulation experiments are carried out to analyze the performance of the proposed methods. Results prove that methods have better capabilities in edge orientation and edge positioning than common used methods. Then, the proposed detection procedure is tested on a simulated PolSAR image with the complex Wishart distribution, as well as an airborne fully polarimetric SAR image.

Key words: stochastic distance, Wishart distribution, PolSAR, edge detection

CLC Number:

P237

WANG Qing, ZENG Qiming, ZHANG Haizhen, JIAO Jian. Edge Detection of PolSAR Image Based on Stochastic Distance[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7): 753-760.

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