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2010 IAPR Workshop on Pattern Recognition in Remote Sensing
The problem of vehicle extraction using airborne laser scanning (ALS) is studied under the framework of object-based point cloud analysis (OBPA). Object extraction relies on the partitioning of raw ALS data into various segments approximating semantic entities followed by classification. A 3D segmentation method working directly on point cloud is used, which features the detection of local arbitrary modes and the globally optimized organization of segments concurrently. To make the segmentationdoi:10.1109/prrs.2010.5742804 fatcat:n37zf6l4nffy3fnn2v5rtgjtdm