Separating tree photosynthetic and non-photosynthetic components from point cloud data using Dynamic Segment Merging

Forests

Volumn 9, Issue 5, 2018, Pages

  Wang, Di ^a   Brunner, Jasmin ^a   Ma, Zhenyu ^b   Lu, Hao ^c   Hollaus, Markus ^a   Pang, Yong ^b   Pfeifer, Norbert ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b RESEARCH INSTITUTE OF FORESTRY   (China)

^c BEIJING FORESTRY UNIVERSITY   (China)

Author keywords

Dynamic segmentation; Laser scanning; Pattern recognition; Point classification; Wood leaf classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORESTRY; LASER APPLICATIONS; PATTERN RECOGNITION; SCANNING; SUPERVISED LEARNING;

DYNAMIC SEGMENTATION; LASER SCANNING; LASER SCANNING DATA; LEAF CLASSIFICATION; MULTI SCALE ANALYSIS; OPTIMAL NEIGHBORHOODS; SUPERVISED MACHINE LEARNING; THREE-DIMENSIONAL POINT CLOUDS;

MERGING;

CLASSIFICATION; DATA SET; LASER METHOD; LEAF AREA INDEX; MACHINE LEARNING; NONDESTRUCTIVE TESTING; PATTERN RECOGNITION; PHOTOSYNTHESIS; WOOD;

ACCURACY; ARTIFICIAL INTELLIGENCE; COMPONENTS; DATA; FORESTRY; PATTERN RECOGNITION; SCANNING; TREES;

EID: 85046678466     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f9050252     Document Type: Article

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