Maximum A Posteriori Estimation of Height Profiles in InSAR Imaging

被引：126

作者：

Ferraiuolo, Giancarlo ^{[1
]}

Pascazio, Vito ^{[2
]}

Schirinzi, Gilda ^{[3
]}

机构：

[1] Univ Naples Federico II, Dipartimento Ingn Elettron Telecomunicazioni, I-80125 Naples, Italy

[2] Univ Napoli Parthenope, Ist Teoria & Tecn Onde Elettromagnet, I-80133 Naples, Italy

[3] Univ Cassino, Dipartimento Automaz Elettromagnet Ingn Informaz, I-03043 Cassino, Italy

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2004年 / 1卷 / 02期

关键词：

Markov random fields (MRFs); maximum a posteriori (MAP); synthetic aperture radar (SAR) interferometry;

D O I：

10.1109/LGRS.2003.822882

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：

We present a statistical method to solve the height estimation problem in interferometric synthetic aperture radar (InSAR) applications. It is based on the use of multifrequency SAR raw datasets obtained by partitioning in subbands the available raw data spectrum, and on a Bayesian estimator using Markov random fields to model the a priori distribution of the unknown images. The method allows recovering topographic profiles affected by strong height discontinuities and allows to perform efficient noise rejections.

引用

页码：66 / 70

页数：5

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