面向电子地图更新的水体自动提取方法研究  

Study on the automatic extraction method of water body for the renewal of electronic maps

作　　者：何正国[1] 毛海亚[1] 钟家晖[1] 樊惠萍[1] 苗立新 周淑芳 刘烽 陈婷 HE Zhengguo;MAO Haiya;ZHONG Jiahui;FAN Huiping;MIAO Lixin;ZHOU Shufang;LIU Feng;CHEN Ting(Guangzhou Urban Planning Automation Center,Guangzhou 510030,China;Twenty First Century Aerospace Technology Co.,Ltd.,Beijing 100096,China)

机构地区：[1]广州市城市规划自动化中心,广东广州510030 [2]二十一世纪空间技术应用股份有限公司,北京100096

出　　处：《水利科学与寒区工程》2019年第1期5-12,共8页Hydro Science And Cold Zone Engineering

基　　金：国家重点研发计划(2017YFC0505701)

摘　　要：水体作为地表覆盖的重要组成之一,水体信息提取通常也是电子地图更新的首要环节。本文基于北京二号高分辨率遥感数据,采用面向对象的技术流程实现了对影像的多尺度分割。同时对全局最优阈值算法进行改进,对水体指数、植被指数等关键特征的取值进行自动计算,减少人工参与。最终提取的水体数量较为准确,边界规整,总体精度可以达到96%,Kappa系数为0.73,有效提升了信息提取的工作效率与质量。As one of the most significant steps,the extraction of water body information is the first link in the procedure for updating electronic maps.In this paper,with the pretreatment of TripleSat constellation remote sensing data and object-oriented technique process,the extraction rule set of water body was carried out based on the multiscale segmentation.At the same time,this paper improves the global optimal threshold algorithm and automatically calculates the values of key features such as water body index and vegetation index to reduce artificial participation.The final extraction result of water body was proved to be accurate with a regular shape,reaching an overall accuracy of 96%and Kappa coefficient of 0.73.The research in this paper reduces the human involvement greatly,contributing to improve the working efficiency and accuracy of water body extraction.

关 键 词：电子地图 遥感 水体 自动提取 面向对象 

分 类 号：P283.5[天文地球—地图制图学与地理信息工程]