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根据东坪地区东坪式金矿的地质特征以及金矿盲矿体信息的多元性，以模糊概率推理法为建模的指导思想，提出了以遥感信息为主导的“多层建模、逐级预测”的方法。首先进行矿区已有各元资料的统计分析、图像化以及各元信息与遥感信息之间的几何配准等预处理，在充分研究了各元信息与金矿富集的相关关系的基础上，建立了与盲矿相关的８个指矿标志模型，并将各模型制成专题图像文件。综合分析８个指矿标志模型的指矿意义后，进而建立了３个预测应用模型──矿田预测应用模型、蚀变矿化和砂矿预测应用模型和盲矿预测应用模型。综合运用３个预测应用模型，提出了６个一级金矿盲矿预测区、３个二级预测区和两个砂矿预测区，取得了良好的预测效果。
According to the geological characteristics of Dongping gold deposit in Dongping area and the diversity of blind orebodies in the gold mine, the fuzzy logic method is taken as the guiding ideology to establish the multi-layer modeling which is dominated by remote sensing information. Level forecast "approach. First of all, we have carried on the pretreatment such as the statistical analysis, the image and the geometric registration between the meta-information and the remote sensing information of each element in the mining area. On the basis of fully studying the correlation between the meta-information and the gold enrichment, Eight mine-related landmark models related to blind mines were established, and the models were made into thematic image files. After comprehensively analyzing the significance of fingering of eight ore-marking models, three models of forecasting and application are established, which are ore-field prediction application model, alteration mineralization and sandstone prediction application model and blind mine prediction application model. By comprehensively using three forecasting application models, six primary gold mine blind zone prediction zones, three secondary prediction zones and two sandstone prediction zones have been proposed, and a good forecasting effect has been achieved.