基于RS和GIS技术环境星影像的武汉市土地分类方法的研究

摘要

This paper mainly uses the remote sensing software ENVI and ARCGIS software to correct and register the environment star data images. In addition to extracting the remote sensing images of Wuhan and Jiangxia, ENVI software is used for the supervision classification and afterwards the images go through the topology processing by ARCGIS software and small parches are eliminated. By taking the data of Google Earth as the validation data, we will use the man -machine interactive interpretation method to classify the use of land. According to the national standard classification of land, five categories are divided; woodland, cultivated land, unused land, residential and industrial land, and waters, and therefore the land classification results are achieved.%主要用遥感软件ENVI和ARCGIS软件对环境星数据影像进行几何校正和配准,提取出研究区武汉市区和江夏区遥感影像,用ENVI软件进行监督分类,分类后在ARCGIS软件中进行拓扑处理,消除小图斑.以GoogleEarth数据作为验证数据.采用人机交互式解译方法进行土地分类.按照全国土地分类标准分为五类:林地、耕地、未利用地、城乡居民工矿用地、水域,得到研究区的土地分类结果.