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基于TM图像的矿区土地资源分类提取研究

lassification and extract of the land resource in mining area based on TM image

中文摘要英文摘要

基于TM图像的土地资源分类与提取是建立矿区遥感动态监测的首要环节,以多时相TM图像为数据源,建立了沈阳矿区土地资源的分类体系,并采用分区分层监督分类的方法对其进行分类。在此基础上通过对TM图像的光谱分析,研究矿区土地信息的分类提取模型,辅助GIS空间分析功能提取出了矿区各时相土地分类信息及相邻时相的变化信息,为下一步矿区土地资源动态监测分析提供数据准备。

he land resources classification and extractions on TM images are the first tache to establish the dynamic monitoring of mining area. Use TM image as data source to build Shenyang mining area land resources classification system, and use the sub area stratiform method to classify. On this basis, through the spectral analysis of TM images, research the classified extraction model of mining land information. With the help of GIS spatial analysis, extract the changed information among the mine land classification, which will provides the data preparation for the future dynamic monitoring analysis of mining area land resources.

张正鹏、武文波

矿山地质、矿山测量矿业工程理论与方法论矿山环境保护

分类体系监督分类模型提取动态监测

lassification systemSupervised classificationModel abstractionDynamic monitoring

张正鹏,武文波.基于TM图像的矿区土地资源分类提取研究[EB/OL].(2007-01-17)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200701-217.点此复制

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