Fusion of Hyperspectral and LiDAR Data with a Novel Ensemble Classifier

IEEE Geoscience and Remote Sensing Letters

Volumn 15, Issue 6, 2018, Pages 957-961

  Xia, Junshi ^a   Yokoya, Naoto ^b   Iwasaki, Akira ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b Disaster Resilience Science Team   (Japan)

Author keywords

Ensemble classifier; hyperspectral (HS); light detection and ranging (LiDAR); morphological features

Indexed keywords

DATA ACQUISITION; DECISION TREES; FEATURE EXTRACTION; HYPERSPECTRAL IMAGING; ITERATIVE METHODS; LINEAR TRANSFORMATIONS; LITHIUM COMPOUNDS; METADATA; MICROCOMPUTERS; OPTICAL RADAR; PERSONNEL TRAINING; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY; TECHNOLOGY TRANSFER; TRACKING RADAR;

ENSEMBLE CLASSIFIERS; HYPERSPECTRAL; LIGHT DETECTION AND RANGING; MORPHOLOGICAL FEATURES; RADIO FREQUENCIES;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; DATA ACQUISITION; DATA ASSIMILATION; DATA SET; LIDAR; MODEL; SPECTRAL ANALYSIS;

EID: 85045218654     PISSN: 1545598X     EISSN: 15580571     Source Type: Journal    
DOI: 10.1109/LGRS.2018.2816958     Document Type: Article

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