遥感地质异常是矿床预测的重要信息之一。从遥感图像理解专家系统的角度出发,本文对遥感地质异常致矿性评价的专家系统方法进行了研究。提出了从图像分析异常、目视解译异常和数据融合异常到致矿遥感地质异常的推理过程的基本思路及相应的系统结构,同时对基于光栅的图像异常的链码表示以及与致矿遥感地质异常有关的属性特征等内容也做了初步研究。 Remote sensing geology anomaly is one of the important information of ore deposit prediction. From the perspective of remote sensing image understanding expert system, this paper studies the expert system method of remote sensing geologic anomaly induced mineralization. The basic idea and corresponding system structure of reasoning process from image analysis anomaly, visual interpretation anomaly and data fusion anomaly to the geological anomalies of ore-bearing remote sensing are put forward. At the same time, Geological anomalies related to the attributes and other content also made a preliminary study.