%0 Journal Article
%T Inland Limnetic Wetlands Water Body Extraction Using TM Imagery<br>基于TM影像的典型内陆淡水湿地水体提取研究
%A YU Huan
%A ZHANG Shu-qing
%A LI Xiao-feng
%A NA Xiao-dong
%A KONG Bo
%A <br>于欢
%A 张树清
%A 李晓峰
%A 那晓东
%A 孔博
%J 遥感技术与应用
%D 2008
%I 
%X Water was the crucial factor that kept wetlands stable and health,to fast and accurately extract wetlands water body using remote sensing imagery became an important wetlands investigation,research and protection method.Considering the middle spatial resolution and high spectrum resolution,high positioning accuracy and low price,TM remote sensing imagery would be one of the main data for wetlands investigation,research and protection.The research carried out an experiment of extracting water from inland limnetic wetlands using TM remote sensing imagery based on many arithmetic,and concluded that spectrum classification was the best among the area accuracy index,extraction accuracy index and visual effect index,the following was single band threshold and vegetation index method,however,multi-band relationship and water index method was the worst.The main negative factor that affect extraction result was that wetlands water couldn't be extracted absolutely,which was caused by the resolution of imagery and complex hydrology condition of wetlands.Therefore,pixel unmixing and multi-source remote sensing data fusion would be the important techniques of promoting water extraction accuracy.
%K TMzz
%K Remote sensing imageryzz
%K Wetlandszz
%K Water bodyzz
%K Extractiozz<br>TM
%K 遥感影像
%K 湿地
%K 水体
%K 提取
%K 影像
%K 淡水湿地
%K 水体提取
%K 研究
%K Extraction
%K Water
%K Body
%K 精度
%K 融合技术
%K 多源遥感数据
%K 像元分解
%K 水文条件
%K 分辨率
%K 完全
%K 提取效果
%K 影响
%K 植被指数法
%K 谱间关系法
%K 多波段
%K 分析法
%K 阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=23AF668E835E29EFF327DD394B088674&yid=67289AFF6305E306&vid=EA389574707BDED3&iid=38B194292C032A66&sid=85002451B65CE0D1&eid=0C3F9E980968AF79&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=5&reference_num=18