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Fast and accurate terrain image classification for ASTER remote sensing by data stream mining and evolutionary-EAC instance-learning-based algorithm
Hu, Shimin1; Fong, Simon1; Yang, Lili2; Yang, Shuang Hua2; Dey, Nilanjan3; Millham, Richard C.4; Fiaidhi, Jinan5
2021-03-02
MediaJournal
KeywordAster Data Stream Mining Evolutionary Computing Feature Selection Remote Sensing
Language英語English
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeOther
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYang, Lili
Affiliation1.Department of Computer and Information Science, University of Macau, Taipa, 999078, Macao
2.Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China
3.Department of Computer Science and Engineering, JIS University, Kolkata, 700109, India
4.ICT & Society Group, Durban University of Technology, Durban, 4001, South Africa
5.Department of Computer Science, Lakehead University, Thunder Bay, P7B 5E1, Canada
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Hu, Shimin,Fong, Simon,Yang, Lili,et al. Fast and accurate terrain image classification for ASTER remote sensing by data stream mining and evolutionary-EAC instance-learning-based algorithm. 2021-03-02.
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