摘要
研究通过对研究区内主要矿化蚀变光谱曲线进行综合分析,选择了TM影像与铁化蚀变和泥化有利的波段进行了主成分分析、波段比值运算,提取了铁化、泥化蚀变。在蚀变提取过程中,为了降低植被等干扰因素的影响和突出蚀变异常信息,采用了掩膜、滤波、密度分割等遥感数字图像处理技术。经实地验证,该方法在本研究区内取得了较好的效果。
This research is based on comprehensive analysis of the major mineralized alteration spectrum curves in the research area. It extracts mineralized alteration information of iron and argillation by selecting the advanta- geous bands of TM image by the methods of principal component analysis and band ratio operation. Remote Sens- ing Digital Image Processing Technologies such as masking, filtering, and density separation are used during infor- mation extraction to reduce the effects of interference factors of vegetation and make prominent alteration anomaly information. The methods selected in this research area have achieved satisfactory results by field testing.
出处
《东华理工大学学报（社会科学版）》
2013年第3期384-389,共6页
Journal of East China University of Technology(Social Science)
基金
江西省重点学科建设项目(2013)资助
关键词
主成份分析法
波段比值法
蚀变信息提取
马坑—大田矿区
principal component analysis
band ratio method
mineralized alteration information extraction
themining area of Makeng-Datian
