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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...

詳細記述

保存先:
書誌詳細
主要な著者: C. Li, F. Li, Y. Liu, X. Li, P. Liu, B. Xiao
フォーマット: Artigo
言語:Inglês
出版事項: Copernicus Publications 2012-07-01
シリーズ:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
オンライン・アクセス: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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