Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 12, 2017, Pages 7126-7139

  Wei, Jingbo ^a,b   Wang, Lizhe ^c,d   Liu, Peng ^d   Chen, Xiaodao ^c   Li, Wei ^b   Zomaya, Albert Y ^b  

^a NANCHANG UNIVERSITY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

^c CHINA UNIVERSITY OF GEOSCIENCES   (China)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Compressed sensing; dictionary learning; remote sensing; sparse representation; spatiotemporal fusion

Indexed keywords

COMPRESSED SENSING; INFRARED DEVICES; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; SIGNAL SAMPLING; SPECTROMETERS;

DICTIONARY LEARNING; EXPERIMENTAL PROCEDURE; MODERATE RESOLUTION IMAGING SPECTROMETERS; ROOT MEAN SQUARE ERRORS; SPARSE REPRESENTATION; SPATIAL AND TEMPORAL RESOLUTIONS; SPATIO-TEMPORAL FUSIONS; SPATIO-TEMPORAL MODELS;

IMAGE FUSION;

ACCURACY ASSESSMENT; IMAGE ANALYSIS; IMAGE RESOLUTION; LANDSAT; MODIS; NUMERICAL METHOD; NUMERICAL MODEL; REMOTE SENSING; SAMPLING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS;

EID: 85030260874     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2742529     Document Type: Article

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