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STUDY ON THE FEASIBILITY OF RGB SUBSTITUTE CIR FOR AUTOMATIC REMOVAL VEGETATION OCCLUSION BASED ON GROUND CLOSE-RANGE BUILDING IMAGES
Building 3D reconstruction based on ground remote sensing data (image, video and lidar) inevitably faces the problem that buildings are always occluded by vegetation, so how to automatically remove and repair vegetation occlusion is a very important preprocessing work for image understanding, comp...
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| Главные авторы: | , , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Copernicus Publications
2012-07-01
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| Серии: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online-ссылка: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/227/2012/isprsarchives-XXXIX-B3-227-2012.pdf |
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