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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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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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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.