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3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS
The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model that can be used to consider context in classification. A simple appearance-base...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Copernicus Publications
2012-08-01
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| Edice: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| On-line přístup: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/479/2012/isprsarchives-XXXIX-B3-479-2012.pdf |
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