A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 7, 2017, Pages 3679-3693

  Paris, Claudia ^a   Kelbe, David ^b   Van Aardt, Jan ^c   Bruzzone, Lorenzo ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Airborne laser scanning (ALS); forest structure; forestry; light detection and ranging (LiDAR); registration; remote sensing; terrestrial laser scanning (TLS)

Indexed keywords

DATA FUSION; DEFORESTATION; FORESTRY; LASER APPLICATIONS; SEEBECK EFFECT; SURFACE ANALYSIS;

AIRBORNE LASER SCANNING; CANOPY HEIGHT MODELS; COMBINED SEGMENTATIONS; DATA CHARACTERISTICS; NORMALIZED CROSS CORRELATION; PARAMETER OPTIMIZATION; SEGMENTATION BOUNDARIES; TERRESTRIAL LASER SCANNING;

SURVEYING INSTRUMENTS;

AIRBORNE SURVEY; AUTOMATION; CANOPY ARCHITECTURE; DATA ASSIMILATION; FORESTRY; LASER METHOD; LIDAR; NADIR; OPTIMIZATION; REMOTE SENSING; SEGMENTATION; STAND STRUCTURE;

AVES;

EID: 85018630064     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2675963     Document Type: Article

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