Markov random fields for digital terrain model extraction

F. Tupin, M. Roux

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-99
Number of pages5
ISBN (Electronic)0780370597, 9780780370593
DOIs
Publication statusPublished - 1 Jan 2001
EventIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001 - Rome, Italy
Duration: 8 Nov 20019 Nov 2001

Publication series

NameIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001

Conference

ConferenceIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
Country/TerritoryItaly
CityRome
Period8/11/019/11/01

Keywords

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

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