Building L-shape footprint extraction from high resolution SAR image

Fengli Zhang; Yun Shao; Xiao Zhang; Timo Balz

doi:10.1109/JURSE.2011.5764772

Building L-shape footprint extraction from high resolution SAR image

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

^*Corresponding author for this work

School of Medical and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

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 language	English
Title of host publication	2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
Pages	273-276
Number of pages	4
DOIs	https://doi.org/10.1109/JURSE.2011.5764772
Publication status	Published - 2011
Event	IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 - Munich, Germany Duration: 11 Apr 2011 → 13 Apr 2011

Publication series

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

Conference

Conference	IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
Country/Territory	Germany
City	Munich
Period	11/04/11 → 13/04/11

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10.1109/JURSE.2011.5764772

Cite this

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

@inproceedings{d26900ec96574073ac12d565b0723d33,

title = "Building L-shape footprint extraction from high resolution SAR image",

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.",

author = "Fengli Zhang and Yun Shao and Xiao Zhang and Timo Balz",

year = "2011",

doi = "10.1109/JURSE.2011.5764772",

language = "English",

isbn = "9781424486571",

series = "2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings",

pages = "273--276",

booktitle = "2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings",

note = "IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 ; Conference date: 11-04-2011 Through 13-04-2011",

}

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., 5764772, 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings, pp. 273-276, IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011, Munich, Germany, 11/04/11. https://doi.org/10.1109/JURSE.2011.5764772

Building L-shape footprint extraction from high resolution SAR image. / Zhang, Fengli; Shao, Yun; Zhang, Xiao et al.
2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings. 2011. p. 273-276 5764772 (2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Fengli

AU - Shao, Yun

AU - Zhang, Xiao

AU - Balz, Timo

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AB - 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.

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Building L-shape footprint extraction from high resolution SAR image

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