Detection of 3-d individual trees in urban areas by combining airborne lidar data and imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 6, 2013, Pages 1355-1359

  Yao, Wei ^a   Wei, Yuzhang ^b  

^a MUNICH UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

3 D segmentation.; AdaBoost; airborne point cloud; imagery; tree detection; urban areas

Indexed keywords

3D SEGMENTATION; IMAGERY; POINT CLOUD; TREE DETECTIONS; URBAN AREAS;

ADAPTIVE BOOSTING; CLUSTER ANALYSIS; FORESTRY; GEOMETRY; OPTICAL RADAR; TREES (MATHEMATICS);

BINARY TREES;

ALGORITHMS; FORESTRY; GEOMETRY; RADAR;

EID: 84886588174     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2241390     Document Type: Article

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