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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: C. Li, F. Li, Y. Liu, X. Li, P. Liu, B. Xiao
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Copernicus Publications 2012-07-01
Sarja:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Linkit: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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