Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping
作者:
Highlights:
• A new approach for modeling uncertain spatio-temporal information is proposed.
• Information with uncertain location and duration of floods are investigated.
• A set of spatio-temporal relations between uncertain flood events is introduced.
• Similar information about flooding events are merged.
• Experimental results show the accuracy and robustness of our approach.
摘要
•A new approach for modeling uncertain spatio-temporal information is proposed.•Information with uncertain location and duration of floods are investigated.•A set of spatio-temporal relations between uncertain flood events is introduced.•Similar information about flooding events are merged.•Experimental results show the accuracy and robustness of our approach.
论文关键词:Spatial–temporal uncertainty,Topological spatial relationships,Belief function theory,Flood mapping
论文评审过程:Received 23 March 2022, Revised 30 June 2022, Accepted 16 July 2022, Available online 20 July 2022, Version of Record 2 August 2022.
论文官网地址:https://doi.org/10.1016/j.eswa.2022.118212