基于蚀变信息场的遥感蚀变信息提取

遥感色调异常是遥感矿化信息识别和遥感找矿的重要标志.用于蚀变信息提取的图像处理方法主要有比值增强和主成分分析两种方法.然而,如何识别和划分多光谱数据中的异常色调没有统一的标准.文章从图像增强、特征变量选择、特征变量组合分析、特征色调空间展布规律,建立研究区的模式识别字典,提出蚀变信息场理论,从蚀变信息场场强的角度对预测区的异常色调进行定量反演.在吉林东部小西南岔铜金床找矿预测中取得显著效果.

EXTRACTING ALTERATION INFORMATION OF REMOTE SENSING BASED ON ALTERATION INFORMATION FIELD

Remote sensing hue anomaly is an important indication for remote sensing mineralization information identification and ore -finding. Ration enhancement and principal component analyses are main ways for extracting alteration information. However, there is no unified standard how to identify and classify anomaly hues of multi - spectral remote sensing data. Based on image enhancement, characteristic vector selection, characteristic vector assemble analysis and anomaly hue distributing rules, model dictionary in the studied area is established and alteration information theory is put forward. Quantitative inverse of anomaly hues is conducted based on alteration information. Remarkable prediction results are got in the Xiaoxinancha gold deposit.