%0 Journal Article
%T Extracting\n\rResidential Areas on the TM Imagery<br>TM影像的居民地信息提取方法研究
%A YANG Cun jian
%A ZHUO Cheng hu
%A <br>杨存建
%A 周成虎
%J 遥感学报
%D 2000
%I 
%X It is necessary to evaluate the flooded house, population, and property as well as the economic loss. The distribution of house, population, and property are correlated with the distribution of residential areas. Their distributions can be derived from the distribution of residential areas. Therefore, it is very important to quickly obtain the residential area in flood disaster evaluation. Satellite remote sensing provide cheap data resources for delineating residential area. In this paper, the method of extracting residential area from remote sensing data is discussed. FIrstly, the mechanism of remote sensing for residential areas is analyzed. Secondly, the differences of residental area and other landuse type are discussed, and the method of enhancing the differences is explored. Thirdly, the structure feature among spectrum of residental area and the other landuse types is analyzed. The unique feature which can distinguish residental area from the other landuse types is that the TM2, TM4 and TM7 of residental area is very close, especially for residental area mainly consisted of house with cement or tile roof. It can be represented with the formula such as TM2-TM4<T1; TM4-TM7<T2; TM7-TM2<T3. When T1, T2 and T3 are given with suitable value, the residental area can be extracted with the formula. With the example of the center part of Fuqing city in Fujian province, when T1, T2 and T3 are given respectively with 10, 8 and 5, the residential area can be extracted with the position accuracy 82% and the area accuracy 80%. Some green land of residental area is not extracted from remote sensing data, which is benefit to the evaluation of flood disaster evaluation. In conclusion, the residential area can be extracted from Landsat TM with the simple threshold of spectrum structure.
%K Satellite remote sensing
%K residential area
%K spectrum structure<br>卫星遥感
%K 居民地
%K 谱间结构
%K TM影像
%K 信息提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=ACEF4E58D3C818D7&yid=9806D0D4EAA9BED3&vid=E158A972A605785F&iid=0B39A22176CE99FB&sid=A020552C37306588&eid=B8040001D18074DF&journal_id=1007-4619&journal_name=遥感学报&referenced_num=93&reference_num=3