Detecting stems in dense and homogeneous forest using single-scan TLS

Forests

Volumn 6, Issue 11, 2015, Pages 3923-3945

  Xia, Shaobo ^a,b   Wang, Cheng ^a   Pan, Feifei ^c   Xi, Xiaohuan ^a   Zeng, Hongcheng ^d   Liu, He ^e  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c UNIVERSITY OF NORTH TEXAS   (United States)

^d UNIVERSITY OF TORONTO   (Canada)

^e Beijing Zoo   (China)

Author keywords

Dense forest; Single scan TLS; Stem mapping; Two scale classification

Indexed keywords

BAMBOO; FORESTRY; SEEBECK EFFECT;

CLASSIFICATION METHODS; CLUSTERING APPROACH; DENSE FOREST; FINE-SCALE STRUCTURES; OVERALL ACCURACIES; SINGLE SCAN; STEM CHARACTERISTICS; TERRESTRIAL LASER SCANNING;

SURVEYING INSTRUMENTS;

ALGORITHM; BAMBOO; CLASSIFICATION; CLUSTER ANALYSIS; FOREST; LASER METHOD; MAPPING; MODELING; STEM;

CLASSIFICATION; FORESTS; MAPPING; PLANTS; STEMS;

EID: 84949525680     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f6113923     Document Type: Article

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