论文部分内容阅读
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。
Based on the comprehensive analysis of the main mineralized alteration spectroscopy curves in the study area, the principal component analysis and the band-ratio calculation were selected for the TM images and the bands favored by iron alteration and mud formation. Iron and mud erosion change. In the process of alteration and extraction, in order to reduce the influence of vegetation and other disturbance factors and highlight the alteration anomaly information, digital image processing techniques such as mask, filtering and density segmentation are adopted. After field verification, this method has achieved good results in this study area.