A NEW OBJECT-BASED FRAMEWORK TO DETECT SHODOWS IN HIGH-RESOLUTION SATELLITE IMAGERY OVER URBAN AREAS
In this paper a new object-based framework to detect shadow areas in high resolution satellite images is proposed. To produce shadow map in pixel level state of the art supervised machine learning algorithms are employed. Automatic ground truth generation based on Otsu thresholding on shadow and non...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Copernicus Publications
2015-12-01
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| Schriftenreihe: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online-Zugang: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/713/2015/isprsarchives-XL-1-W5-713-2015.pdf |
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