| Residential College | false |
| Status | 已發表Published |
| 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
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| 2021-03-02 | |
| Media | Remote Sensing |
| DOI | 10.3390/rs13061123 |
| Keyword | Aster Data Stream Mining Evolutionary Computing Feature Selection Remote Sensing |
| Language | 英語English |
| URL | View the original |
| Scopus ID | 2-s2.0-85103234026 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Other |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Corresponding Author | Yang, Lili |
| Affiliation | 1.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 Affilication | University 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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