TM影像的居民地信息提取方法研究

从对居民地的遥感信息机理分析入手，分析了居民地在Ｌａｎｄｓａｔ ＴＭ２、ＴＭ３、ＴＭ４、ＴＭ５、ＴＭ７等各个波段上与其它地类的可分性。并探讨了增强居民地与其它地类的方法。同时进一步对各地物的谱间结构特征进行了分析，通过分析发现，以水泥顶和瓦项房屋为主的居民地，其ＴＭ２、ＴＭ４、ＴＭ７的光谱值比较接近，而其它地物除新修道路外，都不具备这一特征。这一特征可以用如下表达式来表达，ＴＭ２－ＴＭ４〈Ｔ１；Ｔ

Extracting Residential Areas on the TM Imagery

It is necessary to evaluate the floodedhouse, population, and property as well as the economic loss. The distribution of house,population, and property are correlated with the distribution of residential areas. Theirdistributions can be derived from the distribution of residential areas. Therefore, it isvery important to quickly obtain the residential area in flood disaster evaluation.Satellite remote sensing provide cheap data resources for delineating residential area. Inthis paper, the method of extracting residential area from remote sensing data isdiscussed. FIrstly, the mechanism of remote sensing for residential areas is analyzed.Secondly, the differences of residental area and other landuse type are discussed, and themethod of enhancing the differences is explored. Thirdly, the structure feature amongspectrum of residental area and the other landuse types is analyzed. The unique featurewhich can distinguish residental area from the other landuse types is that the TM2, TM4and TM7 of residental area is very close, especially for residental area mainly consistedof house with cement or tile roof. It can be represented with the formula such asTM2-TM4