Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry

Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu

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

Abstract

A huge archive of very high-resolution SAR and optical satellite imagery acquired by different remote sensing satellites provides the opportunity to explore the possibility of 3D-reconstruction by multi-sensor stereogrammetry. This paper investigates the potential of SAR-optical stereogrammetry over urban areas using very-high-resolution imagery acquired by TerraSAR-X and Worldview-2. Furthermore, the potentials and challenges of deriving simple prismatic building models by combining the stereogrammetry results and OpenStreetMap building footprints are discussed. The results of this data fusion research demonstrate the possibility of using SAR-optical stereogrammetry for urban 3D reconstruction at level-of-detail 1.

Original languageEnglish
Title of host publication2019 Joint Urban Remote Sensing Event, JURSE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728100098
DOIs
StatePublished - May 2019
Event2019 Joint Urban Remote Sensing Event, JURSE 2019 - Vannes, France
Duration: 22 May 201924 May 2019

Publication series

Name2019 Joint Urban Remote Sensing Event, JURSE 2019

Conference

Conference2019 Joint Urban Remote Sensing Event, JURSE 2019
Country/TerritoryFrance
CityVannes
Period22/05/1924/05/19

Keywords

  • 3D reconstruction
  • city models
  • data fusion
  • dense matching
  • stereogrammetry
  • urban areas

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