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Download statistics - Document (COUNTER):
Wegner, J. D.; Ok, A. O.; Thiele, A.; Rottensteiner, F.; Soergel, U.: Urban building detection from optical and insar features exploiting context. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A, S. 239-244. DOI:
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Selected time period:
Sum total of downloads: 193
| 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. | |
| License of this version: | CC BY 3.0 Unported |
| Document Type: | Article |
| Publishing status: | publishedVersion |
| Issue Date: | 2010 |
| Appears in Collections: | Fakultät für Bauingenieurwesen und Geodäsie |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 132 | 68.39% |
| 2 |  |
United States | 20 | 10.36% |
| 3 |  |
China | 9 | 4.66% |
| 4 |  |
Turkey | 7 | 3.63% |
| 5 |  |
Portugal | 3 | 1.55% |
| 6 |  |
No geo information available | 2 | 1.04% |
| 7 |  |
Nepal | 2 | 1.04% |
| 8 |  |
Mexico | 2 | 1.04% |
| 9 |  |
Italy | 2 | 1.04% |
| 10 |  |
Croatia | 1 | 0.52% |
| other countries | 13 | 6.74% | ||
Further download figures and rankings:
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