A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and …

Open AccessThis article is freely available re-usable Remote Sens. 2016, 8(6), 514; doi:10.3390/rs8060514 (registering DOI) Article 1 Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China 2 Faculty of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China 3 Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands * Author to whom correspondence should be addressed. Academic Editors: Soe Myint and Prasad S. Thenkabail Received: 14 April 2016 / Revised: 3 June 2016 / Accepted: 9 June 2016 / Published: 18 June 2016 Create a SciFeed alert for new publications x /ajax/scifeed/subscribe No Land cover mapping (LCM) in complex surface-mined and agricultural landscapes could contribute greatly to regulating mine exploitation and protecting mine…


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