CLASSIFICATION BY USING MULTISPECTRAL POINT CLOUD DATA
نویسندگان
چکیده
منابع مشابه
Multispectral LiDAR Point Cloud Classification: A Two-Step Approach
Target classification techniques using spectral imagery and light detection and ranging (LiDAR) are widely used in many disciplines. However, none of the existing methods can directly capture spectral and 3D spatial information simultaneously. Multispectral LiDAR was proposed to solve this problem as its data combines spectral and 3D spatial information. Point-based classification experiments h...
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1School of Information Science & Technology, Nanjing Forestry University, 210037 Nanjing, China. 2Danzhou Investigation & Experiment Station of Tropical Crops, Ministry of Agriculture/Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China 3Advanced Analysis and Testing Centre, Nanjing Forestry University, 210037 Nanjing, China. 4College of Forestry, ...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2012
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xxxix-b3-137-2012