Matching-pursuit-based analysis of moving objects in polarimetric SAR images

被引：28

作者：

Leducq, Paul ^{[1
]}

Ferro-Famil, Laurent ^{[1
]}

Pottier, Eric ^{[1
]}

机构：

[1] Univ Rennes 1, Inst Elect & Telecommun Rennes, F-35065 Rennes, France

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2008年 / 5卷 / 02期

关键词：

chirplets; matching pursuit (MP); moving objects; nonstationary behaviors; polarimetry; synthetic aperture radar (SAR);

D O I：

10.1109/LGRS.2007.911359

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This letter deals with the analysis of moving and nonstationary objects in already focused synthetic aperture radar (SAR) images. A method based on the matching pursuit (MP) algorithm is proposed to decompose the SAR signal into a set of atoms. A model of a moving object response with frequency- and angle-dependent reflectivity is introduced to design the NIP atoms. Each selected atom is associated to a scatterer of the scene and is parameterized by relevant physical descriptors, leading to a multidimensional model of the object. The efficiency of this technique is demonstrated in terms of SAR response refocusing and physical parameter map derivation, using a polarimetric SAR image of a moving object lying in a natural background.

引用

页码：123 / 127

页数：5

共 47 条

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