Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 11, 2017, Pages 6354-6365

  Rasti, Behnood ^a,b   Ghamisi, Pedram ^c,d   Plaza, Javier ^e   Plaza, Antonio ^e  

^a Keilir Institute of Technology   (Iceland)

^b UNIVERSITY OF ICELAND   (Iceland)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^e UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Extinction profiles (EPs); feature fusion; hyperspectral; light detection and ranging (LiDAR); sparse and low rank component analysis (SLRCA)

Indexed keywords

DATA FUSION; DATA MINING; DECISION TREES; FEATURE EXTRACTION; HYPERSPECTRAL IMAGING; SENSORS; SPECTROSCOPY; SUPPORT VECTOR MACHINES; TRACKING RADAR;

COMPONENT ANALYSIS; EXTINCTION PROFILES; FEATURE FUSION; GRAY SCALE; HYPERSPECTRAL; LIGHT DETECTION AND RANGING;

OPTICAL RADAR;

ACCURACY ASSESSMENT; CLASSIFICATION; DATA PROCESSING; DATA SET; EXPERIMENTAL STUDY; LIDAR; RURAL AREA; SPECTRAL ANALYSIS; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; URBAN AREA;

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

EID: 85029143056     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2726901     Document Type: Article

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