Building detection from high resolution polsar data by combining region and edge information

Yinghua Wang, Florence Tupin, Chongzhao Han, Jean Marie Nicolas

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

Abstract

We propose a three step method to extract buildings from the highresolution PolSAR data, using both the region-based and edge-based information. Firstly, low-level detectors are employed to provide raw region and edge information of the scene. In the second step, improved region-based building detection results are achieved by fusion of label fields, meanwhile the building profile line segments are extracted under a line Markov random field framework. The last step gives the final building footprint estimates: Initial rectangle buildings are defined from the building line segments; by optimizing a surface criterion, the final rectangles are retrieved to fit the regionbased building detection results. The effectiveness of this method is demonstrated using the real full PolSAR data.

Original languageEnglish
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-156
Number of pages4
Edition1
ISBN (Print)9781424428083
DOIs
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume4

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/TerritoryUnited States
CityBoston, MA
Period6/07/0811/07/08

Keywords

  • Building detection
  • Edge
  • Markov random field
  • PolSAR data
  • region

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