Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators

被引:119
作者
Huang, Yue [1 ]
Ferro-Famil, Laurent [1 ]
Reigber, Andreas [2 ]
机构
[1] Univ Rennes 1, SAR Polarimetry, Holog Interferometry & Radargrammetry Team, Inst Elect & Telecommun Rennes, F-35042 Rennes, France
[2] German Aerosp Ctr DLR, Microwaves & Radar Inst, D-82234 Wessling, Germany
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2012年 / 50卷 / 06期
关键词
Multibaseline PolInSAR; SAR tomography; underfoliage imaging; MODEL ORDER SELECTION; MAXIMUM-LIKELIHOOD; SIGNALS; FREQUENCY;
D O I
10.1109/TGRS.2011.2171494
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 paper addresses the imaging of objects located under a forest cover using polarimetric synthetic aperture radar tomography (POLTOMSAR) at L-band. High-resolution spectral estimators, able to accurately discriminate multiple scattering centers in the vertical direction, are used to separate the response of objects and vehicles embedded in a volumetric background. A new polarimetric spectral analysis technique is introduced and is shown to improve the estimation accuracy of the vertical position of both artificial scatterers and natural environments. This approach provides optimal polarimetric features that may be used to further characterize the objects under analysis. The effectiveness of this novel technique for POLTOMSAR is demonstrated using fully polarimetric L-band airborne data sets acquired by the German Aerospace Center (DLR)'s E-SAR system over the test site in Dornstetten, Germany.
引用
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页码:2213 / 2225
页数:13
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