Markovian graph labeling for 3D reconstruction in dense urban area using SAR and optical images

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Abstract

In this paper, a method to extract a simplified 3D map of dense urban areas is proposed. It relies on both optical and interferometric SAR images. Firstly, an over-detection of the buildings is done over the optical image using morphological operators. They are modeled as rectangle with a height that is retrieved using the interferometric phase. Then, the problem is modeled as a Markov Random Field and optimized using many different features retrieved in both optical and SAR data.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2951-2954
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • Image processing
  • Markov random fields
  • Morphological operations
  • Synthetic aperture radar
  • Urban areas

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