POLARIMETRIC SAR IMAGES FOR CHARACTERIZATION OF URBAN TARGETS

被引：0

作者：

Aghababaei, Hossein ^{[1
]}

Ferraioli, Giampaolo ^{[2
]}

Zamani, Roghayeh ^{[2
]}

机构：

[1] Univ Twente, Dept Earth Observat Sci, Fac Geoinformat Sci & Earth Observat, Twente, Netherlands

[2] Univ Napoli Parthenope, Dipartimento Sci & Tecnol, Naples, Italy

来源：

2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年

关键词：

3D classification; Decomposition; SAR tomography; CLASSIFICATION; DECOMPOSITION;

D O I：

10.1109/IGARSS47720.2021.9553158

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper addresses the 3D classification of superimposed target scattering mechanisms in polarimetric synthetic aperture radar (SAR) images of urban environments. Theoretically, the solution of this problem is possible with polarimetric tomographic SAR focusing techniques. In this work, we investigate how SAR Tomography (TomoSAR) can be used to identify and distinguish the superimposed target mechanisms. In particular, various strategies are employed to separate and characterize the polarimetric scattering patterns of targets in layover regions. Extensive and comparative analyses are performed to answer how accurately different strategies can identify the polarimetric scattering pattern.

引用

页码：1701 / 1704

页数：4

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