Comparison of tree species classifications at the individual tree level by combining ALS data and RGB images using different algorithms

Remote Sensing

Volumn 8, Issue 12, 2016, Pages

  Deng, Songqiu ^a   Katoh, Masato ^a   Yu, Xiaowei ^b   Hyyppä, Juha ^b   Gao, Tian ^c  

^a SHINSHU UNIVERSITY   (Japan)

^b FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^c INSTITUTE OF APPLIED ECOLOGY   (China)

Author keywords

Airborne laser scanning; Forest resource measurement; Individual tree detection; Machine learning approaches; RGB imagery; Tree crown based classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL GEOMETRY; DECISION TREES; IMAGE CLASSIFICATION; ITERATIVE METHODS; LASER APPLICATIONS; LEARNING SYSTEMS; SURFACE ANALYSIS;

AIRBORNE LASER SCANNING; FOREST RESOURCES; INDIVIDUAL TREE DETECTIONS; MACHINE LEARNING APPROACHES; RGB IMAGERY; TREE CROWNS;

FORESTRY;

EID: 85019721788     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8121034     Document Type: Article

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