Object-based change detection for individual buildings in SAR images captured with different incidence angles

Junyi Tao; Stefan Auer; Peter Reinartz; Richard Bamler

doi:10.1109/IGARSS.2013.6723004

Object-based change detection for individual buildings in SAR images captured with different incidence angles

Junyi Tao, Stefan Auer, Peter Reinartz, Richard Bamler

Chair of Remote Sensing Technology

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

4 Scopus citations

Abstract

Change detection of two SAR images captured with different incidence angles is a difficult task but may be important in urgent situations like earthquakes. This paper presents a simulation based algorithm to detect negative changes of buildings in two high resolution SAR images captured with different incidence angles. The analysis is supported by LiDAR data where individual wall models are extracted and are simulated to predict their shape in the SAR images. Afterwards, point signatures within the layover areas are extracted, converted to the same geometry, and are compared with a buffer change detection algorithm. The proposed method is tested for several buildings (in Munich city center) imaged in TerraSAR-X spotlight mode.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	1238-1241
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2013.6723004
State	Published - 2013
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	21/07/13 → 26/07/13

Keywords

LiDAR
SAR simulation
TerraSAR-X
change detection
wall extraction

Access to Document

10.1109/IGARSS.2013.6723004

Cite this

Tao, J., Auer, S., Reinartz, P., & Bamler, R. (2013). Object-based change detection for individual buildings in SAR images captured with different incidence angles. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 1238-1241). Article 6723004 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723004

@inproceedings{cfd74039ead3478eb8bc80afd983d8db,

title = "Object-based change detection for individual buildings in SAR images captured with different incidence angles",

abstract = "Change detection of two SAR images captured with different incidence angles is a difficult task but may be important in urgent situations like earthquakes. This paper presents a simulation based algorithm to detect negative changes of buildings in two high resolution SAR images captured with different incidence angles. The analysis is supported by LiDAR data where individual wall models are extracted and are simulated to predict their shape in the SAR images. Afterwards, point signatures within the layover areas are extracted, converted to the same geometry, and are compared with a buffer change detection algorithm. The proposed method is tested for several buildings (in Munich city center) imaged in TerraSAR-X spotlight mode.",

keywords = "LiDAR, SAR simulation, TerraSAR-X, change detection, wall extraction",

author = "Junyi Tao and Stefan Auer and Peter Reinartz and Richard Bamler",

year = "2013",

doi = "10.1109/IGARSS.2013.6723004",

language = "English",

isbn = "9781479911141",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "1238--1241",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Tao, J, Auer, S, Reinartz, P & Bamler, R 2013, Object-based change detection for individual buildings in SAR images captured with different incidence angles. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723004, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1238-1241, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 21/07/13. https://doi.org/10.1109/IGARSS.2013.6723004

Object-based change detection for individual buildings in SAR images captured with different incidence angles. / Tao, Junyi; Auer, Stefan; Reinartz, Peter et al.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 1238-1241 6723004 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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AU - Auer, Stefan

AU - Reinartz, Peter

AU - Bamler, Richard

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N2 - Change detection of two SAR images captured with different incidence angles is a difficult task but may be important in urgent situations like earthquakes. This paper presents a simulation based algorithm to detect negative changes of buildings in two high resolution SAR images captured with different incidence angles. The analysis is supported by LiDAR data where individual wall models are extracted and are simulated to predict their shape in the SAR images. Afterwards, point signatures within the layover areas are extracted, converted to the same geometry, and are compared with a buffer change detection algorithm. The proposed method is tested for several buildings (in Munich city center) imaged in TerraSAR-X spotlight mode.

AB - Change detection of two SAR images captured with different incidence angles is a difficult task but may be important in urgent situations like earthquakes. This paper presents a simulation based algorithm to detect negative changes of buildings in two high resolution SAR images captured with different incidence angles. The analysis is supported by LiDAR data where individual wall models are extracted and are simulated to predict their shape in the SAR images. Afterwards, point signatures within the layover areas are extracted, converted to the same geometry, and are compared with a buffer change detection algorithm. The proposed method is tested for several buildings (in Munich city center) imaged in TerraSAR-X spotlight mode.

KW - LiDAR

KW - SAR simulation

KW - TerraSAR-X

KW - change detection

KW - wall extraction

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U2 - 10.1109/IGARSS.2013.6723004

DO - 10.1109/IGARSS.2013.6723004

M3 - Conference contribution

AN - SCOPUS:84894237787

SN - 9781479911141

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

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Y2 - 21 July 2013 through 26 July 2013

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Tao J, Auer S, Reinartz P, Bamler R. Object-based change detection for individual buildings in SAR images captured with different incidence angles. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 1238-1241. 6723004. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2013.6723004

Object-based change detection for individual buildings in SAR images captured with different incidence angles

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Keywords

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