【摘要】 本文提出了一种反映ＴＭ资料的亮度、绿度、湿度等信息特征，有利于区分不同土地利用类型 的亮度指数ＢＩ、植被指数ＶＩ及ＴＭ５数据组合的数字处理新方案，介绍了利用该方案处理数据及图 像，进行计算机自动分类及目视解译，编制１：５万土地利用现状图的方法。在对江苏省射阳县中部 三个乡的研究结果进行对比分析后，本文对计算机自动分类和目视解译方法在１：５万土地利用现状 图编制过程中的实际效果作出了综合评价。更多还原

【Abstract】 In this paper a new digital processing scheme of data combination for BI (bright index), VI (vegetation index) and TM5 which are valuable to identify the land types and can reflect the major information characteristics of TM data, Such as brightness. green level, humidity etc. is suggested, and a method to compile the 1:50,000 landuse map using the data and images Processed hi the scheme is introduced. Comparing the results of automatic classification by computer with visual interpretation, a comprehensive evaluation of remote sensing research for landuse is also made in the paper.更多还原