遥感影像水体信息提取研究进展  

Advances on Water Body Information Extraction from Remote Sensing Imagery

作　　者：周鹏 谢元礼[1] 蒋广鑫 胡李发 ZHOU Peng;XIE Yuanli;JIANG Guangxin;HU Lifa(College of Urban and Environment Science, Northwestern University, Xi’an 710127,China)

机构地区：[1]西北大学城市与环境学院,西安710127

出　　处：《遥感信息》2020年第5期9-18,共10页Remote Sensing Information

基　　金：陕西省自然科学基础研究计划项目(2017JM4035)。

摘　　要：水资源是人类社会赖以生存和发展的物质基础。遥感影像水体信息提取对水资源的监测、规划、保护、利用至关重要,一直受到专家学者的关注。针对国内外专家学者利用遥感影像进行水体信息提取的相关研究成果,文章按照阈值分割法、分类器模型法、基于“全域-局部”的提取法和光谱混合分析法4类,对前人提出的水体提取理论和方法进行归纳总结;在此基础上,指出制约水体信息提取精度的瓶颈和解决措施;最后对遥感影像水体信息提取的发展趋势进行展望。Water resources are the material basis for the survival and development of human society.Water body information extracted from remote sensing imagery is so important to the monitoring,planning,protection and utilization of water resources that it has been concerned by experts and scholars.In this paper,the relevant research results of water body extraction using remote sensing imagery by domestic and foreign experts are reviewed,four methods of water body extraction are induced,which are threshold segmentation method,classifier model method,based on“whole-local”extraction method and spectral mixed analysis method,and the theories,methods and directions are summarized.Based on this,it points out the bottlenecks and solutions that affect the accuracy of water body extraction from remote sensing images.Finally,the developing trend of water body extraction from remote sensing images is discussed.

关 键 词：水体提取 阈值法 分类器模型法 全域-局部 光谱混合分析法 研究进展 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]