Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2017-July, Issue , 2017, Pages 1197-1200

  Yokoya, Naoto ^a,b,c   Ghamisi, Pedram ^b,c   Xia, Junshi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

canonical correlation forests; Local climate zones (LCZs); morphological profiles; rotation forests

Indexed keywords

EID: 85041839766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2017.8127172     Document Type: Conference Paper

References (8)

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