Optimizing multi-classifier fusion for seabed sediment classification using machine learning

Article Properties
  • Language
    English
  • Publication Date
    2023/12/21
  • Indian UGC (journal)
  • Refrences
    65
  • Michael Anokye College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, People’s Republic of China
  • Xiaodong Cui College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaKey Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, Qingdao, People’s Republic of China ORCID (unauthenticated)
  • Fanlin Yang College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaKey Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, Qingdao, People’s Republic of China
  • Ping Wang South China Sea Information Center, State Oceanic Administration, Guangzhou, People’s Republic of China
  • Yuewen Sun Zhejiang Institute of Hydraulics & Estuary (Zhejiang Institute of Marine Planning and Design), Hangzhou, People’s Republic of China
  • Hadong Ma South China Sea Information Center, State Oceanic Administration, Guangzhou, People’s Republic of China
  • Emmanuel Oduro Amoako College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, People’s Republic of China
Journal Categories
Geography
Anthropology
Recreation
Geography (General)
Geography
Anthropology
Recreation
Mathematical geography
Cartography
Science
Geology
Refrences
Title Journal Journal Categories Citations Publication Date
Index that Quantifies Topographic Heterogeneity 1997
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles 2021
10.1016/S0034-4257(99)00051-6
10.1016/J.CAGEO.2020.104475
10.1023/A:1010933404324