Building L-shape footprint extraction from high resolution SAR image

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

22 引用 (Scopus)
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摘要

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.

源语言英语
主期刊名2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
273-276
页数4
DOI
出版状态已出版 - 2011
活动IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 - Munich, 德国
期限: 11 4月 201113 4月 2011

出版系列

姓名2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings

会议

会议IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
国家/地区德国
Munich
时期11/04/1113/04/11

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引用此

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