A Study on Extraction of Man-Made Targets Using SVM Method from High Resolution PolInSAR Data

Lijun Lu, Jixian Zhang, Guoman Huang
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Abstract

This paper studys a man-made target extraction technique using SVM (Support Vector Machine) method from high resolution PolInSAR(polarimetric Interferometric synthetic aperture radar ) data. Fully polarimetric interferometric data in X band was acquired by a China-made airborne SAR system in January 2010, over the Linshui area in Hainan province. This study focuses on man-made targets extraction in Linshui area, where the ground survey allows the validation of the final extraction results. Different PolSAR (polarimetric SAR) and PolInSAR(polarimetric interferometric SAR) feature indicators, such as H/A/α,based on the Pauli formalism or an optimal set of coherences are subsequently analyzed and the representatives of features are selected. In order to consider effect of man-made targets extraction with different feature indicators, the SVM method is investigated. The results based on PolSAR, PolInSAR and combined PolSAR and PolInSAR features are respectively compared, the best result is obtained via combining PolSAR and PolInSAR features.
基于SVM的高分辨率PolInSAR人造目标提取研究
本文研究了一种基于支持向量机(SVM)的高分辨率偏振干涉合成孔径雷达(PolInSAR)数据人工目标提取技术。2010年1月,国产机载SAR系统在海南临水地区获得了X波段的全偏振干涉数据。本研究以临水地区人为目标提取为研究对象,通过地面测量对最终提取结果进行验证。分析了不同的PolInSAR(偏振SAR)和PolInSAR(偏振干涉SAR)特征指标,如H/A/α,分别基于泡利形式和最优相干集,并选择了特征代表。为了考虑不同特征指标对人工目标提取的影响,研究了支持向量机方法。分别比较了基于PolSAR、PolInSAR以及结合PolSAR和PolInSAR特征的结果,得到了结合PolSAR和PolInSAR特征的最佳结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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