|
|||||
|
|
| 干旱区TM图像蚀变信息提取方法研究 | |
| 引用本文： | 张楠楠,张晓帆,周可法,郭全军.干旱区TM图像蚀变信息提取方法研究[J].干旱区地理,2006,29(3):398-402. |
| 作者姓名： | 张楠楠 张晓帆 周可法 郭全军 |
| 作者单位： | 1. 新疆大学,新疆,乌鲁木齐,830046 2. 中国科学院新疆生态地理研究所,新疆,乌鲁木齐,830011 3. 兵团一建水文地质基础工程公司,新疆,乌鲁木齐,830011 |
| 基金项目： | 科技部科研项目 , 高比容电子铝箔的研究开发与应用项目 , 中国科学院知识创新工程项目 |
| 摘 要： | 围岩蚀变是成矿作用发生的重要标志之一,从遥感图像中提取蚀变信息是遥感找矿的难点和重要手段。遥感TM数据以其丰富的光谱和连续的空间信息被广泛地应用在地质找矿中,在分析TM影像数据的光谱特征的基础上,根据岩矿光谱特征和遥感信息提取理论,利用全波段主成份分析,选择主成份分析和比值增强、主成份分析相结合的直接主成份法分别对研究区进行了提取,并进行了对比分析和探讨,最终表明直接主成份分析在干旱区可以起到良好的应用效果。 |
| 关 键 词： | TM数据 蚀变信息 主成份分析 比值增强 干旱区 |
| 文章编号： | 1000-6060（2006）03-0398-05 |
| 收稿时间： | 2005-10-19 |
| 修稿时间： | 2006-02-15 |
Extraction method of alteration information in arid area from TM image |
|
| ZHANG Nan-nan,ZHANG Xiao-fan,ZHOU Ke-fa,GUO Quan-jun.Extraction method of alteration information in arid area from TM image[J].Arid Land Geography,2006,29(3):398-402. | |
| Authors: | ZHANG Nan-nan ZHANG Xiao-fan ZHOU Ke-fa GUO Quan-jun |
| Institution: | 1 Xinjiang University, Urumqi 830046, Xinjiang , China ; 2 Xinjiang Institute of Ecology and Geography ,Chinses Academy of Sciences, Urumqi 830011, Xinjiang , China ; 3 Hydrogeology Engineering Corporation of Xinjiang Production and Construction Corps, Urumqi 830011, Xinjiang , China |
| Abstract: | Wall rock alteration is an important indication of mineralization. It is important extract alteration information from the Remote Sesing images. Because of abundant spectrum, continous space information and rational market price, the satellite TM data are applied extensively in looking for ore resources. On the basis of analysing spectrum characteristic of TM image data mainly, according to the rock ore spectrum characteristic and the theory of extracting information from remote sensing, this paper utilized the methods such as all band principal component analysis, selective principal component analysis and direct principal component analysis to analyse and compare efficiency of information extracting. The results show that all band principal component analysis has a poor extraction effection, and the border of altered rock is faint on the image. Selective principal component analysis which is compared with all band principal component analysis has improved, and enlarges the contrast of the spectrum, extrudes the range of wall rock alterat, but the effection also is not very well and satisfied, and still has the problem of faintness. Finanlly, direct principal component analysis extrudes the range of wall rock distinctively, and border is seen clearly. The conclusion can be reached that the direct principal component analysis is the best method adaptable to extract mineralization-alteration information in arid area. |
| Keywords: | TM data alteration information principal component analysis ratio processing arid area |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |