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Building detection and height retrieval in urban areas in the framework of high resolution optical and SAR data fusion

  • Telecom Paris
  • Land and Joint Systems

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

Abstract

In this paper, we propose a symmetrized version of a semi-automatic processing chain, able to provide the simple 3D reconstruction of buildings in urban scenes, from high-resolution optical and SAR imagery. The new elaborated chain gives an equivalent part to the optical and SAR components, in order to fully exploit complementary information provided by proper building features in both images. First, the initial processing chain is reminded and completely illustrated on a studied scene on real data. Then, three points of improvements by process symmetrization are discussed: an augmentation of the detection rate in the footprint extraction step, an increase of the reliability attached to the estimated building heights and a joint improvement of the steps of building validation and qualification. Its is shown that the appropriate combination of optical and SAR features, inside some processing steps, could give better results of reconstruction.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3660-3663
Number of pages4
ISBN (Print)9781424495658, 9781424495665
DOIs
Publication statusPublished - 1 Jan 2010
Event2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, United States
Duration: 25 Jul 201030 Jul 2010

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Country/TerritoryUnited States
CityHonolulu
Period25/07/1030/07/10

Keywords

  • 3D reconstruction
  • Building detection
  • Height estimation
  • Optical-SAR data fusion
  • Urban areas

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