URBAN BUILDING DETECTION FROM OPTICAL AND INSAR FEATURES EXPLOITING CONTEXT

Date

2010-09-03

Author

Wegner, J. D.
Ok, Ahmet
Thiele, A.
Rottensteiner, F.
Soergel, U.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased if we integrate both InSAR double-bounce lines and 3D lines of stereo data in addition to building hints of a single optical orthophoto. In order to exploit context information, which is crucial for object detection in urban areas, we use a Conditional Random Field approach. It proves to be a valuable method for context-based building detection with multi-sensor features.

Subject Keywords

Conditional Random Fields, Remote Sensing, Fusion, InSAR Data, Optical Stereo Data, Urban Area

URI

https://hdl.handle.net/11511/55191

Conference Name

ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV)

Collections

Department of Educational Sciences, Conference / Seminar

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Citation Formats

J. D. Wegner, A. Ok, A. Thiele, F. Rottensteiner, and U. Soergel, “URBAN BUILDING DETECTION FROM OPTICAL AND INSAR FEATURES EXPLOITING CONTEXT,” Saint Mande, FRANCE, 2010, vol. 38, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55191.