Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensed Scene

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 10, Issue 8, 2017, Pages 3768-3781

  Luo, Renbo ^a,b,c   Liao, Wenzhi ^c,d   Zhang, Hongyan ^e   Zhang, Liangpei ^e   Scheunders, Paul ^f   Pi, Youguo ^b   Philips, Wilfried ^c  

^a GUANGZHOU UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c GHENT UNIVERSITY   (Belgium)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e Wuhan University   (China)

^f UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Classification; cloud shadow; feature fusion; hyperspectral (HS) image; Light Detection And Ranging (LiDAR)

Indexed keywords

LITHIUM COMPOUNDS; OPTICAL RADAR; REMOTE SENSING; SAMPLING;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLOUD SHADOWS; FEATURE FUSION; HYPERSPECTRAL; LIGHT DETECTION AND RANGING; MORPHOLOGICAL FEATURES; SIMILAR MATERIAL;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LIDAR; PERFORMANCE ASSESSMENT; REMOTE SENSING; SPECTRAL RESOLUTION;

EID: 85017190148     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2684085     Document Type: Article

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