Research progress and hot spot analysis of water body identification in remote sensing images
CHEN Zhenguo
LU Ruifang
REN Weikang
LIU Xiaoqian
Abstract：Flood disaster is one of the natural disasters that seriously endanger the development of human soci-ety,and accurate identification of water body information from remote sensing images is of great significance to improve the emergency treatment and disaster early warning of sudden flood disaster events,and has always at-tracted the attention of experts and scholars.In view of the research results of experts and scholars at home and abroad using remote sensing images for water body identification,this paper analyzes and studies the water identification theory and method proposed by the predecessors from two aspects:traditional methods and deep learning methods.On this basis,the current research hotspots of water identification are sorted out and analyzed by bibliometric methods,and the future development trend of water identification based on remote sensing images is prospected according to the existing problems and current hot spots.
Keywords：water body identificationremote sensing imagerydeep learningthreshold methodvisual analytics
Publication Date：2024-04-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：14( 63-76 )