Details
| Original language | English |
|---|---|
| Pages (from-to) | 239-244 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Publication status | Published - 2010 |
| Event | ISPRS Technical Commission III Symposium on Photogrammetric Computer Vision and Image Analysis, PCV 2010 - Saint-Mande, France Duration: 1 Sept 2010 → 3 Sept 2010 |
Abstract
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.
Keywords
- Conditional Random Fields, Fusion, InSAR Data, Optical Stereo Data, Remote Sensing, Urban Area
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 38, 2010, p. 239-244.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Urban building detection from optical and insar features exploiting context
AU - Wegner, J. D.
AU - Ok, A. O.
AU - Thiele, A.
AU - Rottensteiner, F.
AU - Soergel, U.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Conditional Random Fields
KW - Fusion
KW - InSAR Data
KW - Optical Stereo Data
KW - Remote Sensing
KW - Urban Area
UR - http://www.scopus.com/inward/record.url?scp=84923870536&partnerID=8YFLogxK
U2 - 10.15488/1139
DO - 10.15488/1139
M3 - Conference article
AN - SCOPUS:84923870536
VL - 38
SP - 239
EP - 244
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - ISPRS Technical Commission III Symposium on Photogrammetric Computer Vision and Image Analysis, PCV 2010
Y2 - 1 September 2010 through 3 September 2010
ER -