A COMPLEX DATA BASED BUILDING EDGE DETECTOR FOR TANDEM-X MISSION

被引：0

作者：

Baselice, Fabio ^{[1
]}

Ferraioli, Giampaolo ^{[1
]}

Reale, Diego

机构：

[1] Univ Napoli Parthenope, Dipartimeto Tecnol, Naples, Italy

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Markov Random Field; Bayesian Estimation Theory; Edge Detection; TanDEM-X Mission;

D O I：

10.1109/IGARSS.2012.6352079

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Markov Random Fields (MRF) are a powerful and wide adopted tool in image processing. MRFS together with Bayesian Estimation Theory can be used for detecting edges of man made structures in Synthetic Aperture Radar images. In this paper we present a method developed in the Markovian-Bayesian framework which is particularly suited to work in case of high coherence SAR interferometric images pairs, such as TanDEM-X Mission data. A real case study, consisting of a pair of complex TerraSAR-X images, is presented, showing the performances of the algorithm.

引用

页码：6629 / 6632

页数：4

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