An Efficient Classification Method of Fully Polarimetric SAR Image Based on Polarimetric Features and Spatial Features

文献类型： 外文期刊

第一作者： Xue, Xiaorong

作者： Xue, Xiaorong;Xue, Xiaorong;Di, Liping;Guo, Liying;Lin, Li;Guo, Liying

作者机构：

关键词： Polarimetric SAR;polarimetric feature;gray level co-occurrence matrix;image classification

期刊名称：2015 FOURTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS

ISSN： 2334-3168

年卷期： 2015 年

页码：

收录情况： SCI

摘要： Polarimetric SAR(PolSAR) has played more and more important roles in earth observation. Polarimetric SAR image classification is one of the key problems in the PolSAR image interpretation. In this paper, based on the scattering properties of fully polarimetric SAR data, combing the statistical characteristics and neighborhood information, an efficient method of fully polarimetric SAR image classification is proposed. In the method, polarimetric scattering characteristics of fully polarimetric SAR image is used, and in the denoised total power image of polarimetric SAR, Span, the texture features of gray level co-occurrence matrix are extracted at the same time. Finally, the polarimetric information and texture information are combined for fully polarimetric SAR Image classification by clustering algorithm. The experimental results show that better classification results can be obtained in the Radarsat-2 data with the proposed method.

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