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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。
In this paper, we propose a new digital processing scheme which can reflect the brightness, greenness and humidity of TM data, which is good for distinguishing the brightness index BI, vegetation index VI and TM5 data of different land use types. Data and images, computerized automatic classification and visual interpretation, the preparation of 1: 5 million map of the land use situation. After a comparative analysis of the research results of three townships in central Sheyang County, Jiangsu Province, this paper makes a comprehensive evaluation of the actual effect of computerized automatic classification and visual interpretation methods in the process of compiling 1: 50000 land use maps.