Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 12, 2016, Pages 2039-2043

  Liu, Xun ^a   Deng, Chenwei ^a   Wang, Shuigen ^a   Huang, Guang Bin ^b   Zhao, Baojun ^a   Lauren, Paula ^c  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c Oakland University   (United States)

Author keywords

Extreme learning machine (ELM); feature representation; local structural information; mapping function; spatiotemporal image fusion

Indexed keywords

IMAGE RECONSTRUCTION; KNOWLEDGE ACQUISITION; MAPPING; RADIOMETERS; SATELLITE IMAGERY;

ENHANCED THEMATIC MAPPERS; EXTREME LEARNING MACHINE; FEATURE REPRESENTATION; GENERALIZATION PERFORMANCE; HIGH SPATIAL RESOLUTION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; SPATIO-TEMPORAL FUSIONS; TRADITIONAL APPROACHES;

LEARNING SYSTEMS;

EID: 84996761516     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2622726     Document Type: Article

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