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2017, Volume 18, Issue 10

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Frontiers of Information Technology & Electronic Engineering >> 2017, Volume 18, Issue 10 doi: 10.1631/FITEE.1601051

Astatistical distribution texton feature for synthetic aperture radar image classification

. School of Electronic Information, Wuhan University, Wuhan 430072, China.. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.. School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China.. Hubei P&T Plan-Design Co., Ltd., Wuhan 430023, China

Available online: 2018-01-18
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Abstract

We propose a novel statistical distribution texton (s-texton) feature for synthetic aperture radar (SAR) image classification. Motivated by the traditional texton feature, the framework of texture analysis, and the importance of statistical distribution in SAR images, the s-texton feature is developed based on the idea that parameter estimation of the statistical distribution can replace the filtering operation in the traditional texture analysis of SAR images. In the process of extracting the s-texton feature, several strategies are adopted, including pre-processing, spatial gridding, parameter estimation, texton clustering, and histogram

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