Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 7, 2017, Pages 3997-4007

  Rasti, Behnood ^a,b   Ghamisi, Pedram ^c   Gloaguen, Richard ^d  

^a Keilir Institute of Technology   (Iceland)

^b UNIVERSITY OF ICELAND   (Iceland)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^d INSTITUTE OF ION BEAM PHYSICS AND MATERIALS RESEARCH   (Germany)

Author keywords

Extinction profiles (EPs); feature fusion; orthogonal total variation component analysis (OTVCA); random forest (RF); support vector machines (SVMs)

Indexed keywords

DECISION TREES; OPTICAL RADAR; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION MAPS; FEATURE FUSION METHOD; HOMOGENEOUS REGIONS; LIGHT DETECTION AND RANGING; REMOTE SENSING DATA; SPECTRAL INFORMATION; SUPPORT VECTOR MACHINE CLASSIFIERS;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; BENCHMARKING; DATA SET; IMAGE CLASSIFICATION; LIDAR; MATHEMATICAL ANALYSIS; RASTER; REMOTE SENSING; SPECTRAL ANALYSIS; SUPPORT VECTOR MACHINE;

HOUSTON; ITALY; TEXAS; TRENTINO-ALTO ADIGE; TRENTO; UNITED STATES;

EID: 85018628243     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2686450     Document Type: Article

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