Markov random fields for digital terrain model extraction

被引：2

作者：

Tupin, F ^{[1
]}

Roux, M ^{[1
]}

机构：

[1] Ecole Natl Super Telecommun Bretagne, CNRS URA 820, Dpt TSI, F-75013 Paris, France

来源：

IEEE/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS | 2001年

关键词：

digital terrain model (DTM); road detection; Markov Random Fields (MRF); SAR interferometry; stereo-vision;

D O I：

10.1109/DFUA.2001.985734

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper deals with the automatic extraction of the ground elevation or Digital Terrain Model ( DTM) from the global digital elevation model (DEM). The proposed method is divided into two main steps: first, the road network and the cross-roads are extracted, and the elevation of the cross-roads is estimated on the DEM; secondly, the height of the cross-roads is regularized using some contextual knowledge. The second step is performed inside a Markovian framework based on the natural graph of the roads. Results on interferometric SAR data and optical images are presented.

引用

页码：95 / 99

页数：5

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