Building L-shape footprint extraction from high resolution SAR image

Fengli Zhang*, Yun Shao, Xiao Zhang, Timo Balz

*Corresponding author for this work

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

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Abstract

Building extraction in SAR images is still a difficult task due to the geometric distortions, the electromagnetic wave interactions between adjacent targets, and the speckle noises. In this paper, a method for building L-shape footprint extraction from high resolution SAR images jointly using image segmentation and line detection is proposed. Experiments based on a TerraSAR-X image show that method proposed in this paper can accurately delineate the L-shape edges of buildings facing towards the SAR sensor.

Original languageEnglish
Title of host publication2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
Pages273-276
Number of pages4
DOIs
Publication statusPublished - 2011
EventIEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 - Munich, Germany
Duration: 11 Apr 201113 Apr 2011

Publication series

Name2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings

Conference

ConferenceIEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
Country/TerritoryGermany
CityMunich
Period11/04/1113/04/11

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Zhang, F., Shao, Y., Zhang, X., & Balz, T. (2011). Building L-shape footprint extraction from high resolution SAR image. In 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings (pp. 273-276). Article 5764772 (2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings). https://doi.org/10.1109/JURSE.2011.5764772