基于GIS 的遥感信息识别与综合评价模型研究- 以金矿遥感勘查为例

本文阐述区域成矿条件的遥感信息识别方法和地质异常的定量分析方法，并在地理信息系统（ＧＩＳ）的支持下，依据成矿理论和专家知识，构建包括大地构造信息、重力异常信息、构造异常信息、地层展布特征和岩浆活动规律以及遥感异常信息在内的区域成矿条件综合评价模型，对各种成矿因素进行定量化的逐步推理判识和综合筛选，推断成矿有利地域．初步形成从信息识别到综合评价的相对完整的思路和方法，并在实际运用中取得了较好的效果．

RESEARCH ON REMOTE SENSING INFORMATION RECOGNIZING METHODS AND THE MULTIDISCIPLINARY EVALUATION MODEL FOR REGIONAL MINERALIZATION CONDITIONS BASED ON GIS

Remote sensing information recognizing methods for regional mineralization conditions and quantitative analyzing methods for anomalies of geological field are discussed in this paper. In accordance with modern generalization theory and expert knowledge, the multidisciplinary evaluation method was abstracted based on GIS. It consists of structural units, gravity anomaly, the abnormal distribution of tendency surface analysis of structural traces, features of stratigraphic succession, distributions of magnetic difference and remote sensing abnormal information. Each mineralizing factor is distinguished and seized with quantitative analyzing process. The important and significant mineralization areas can be drawn from analyzing results of the cure and method system by information recognition and multidisciplinary evaluation. The application significance has been shown in Arjin-East Konglong Area.