Decreasing the uncertainty and increasing the prediction rate of evidential maps are two important objectives in mineral prospectivity mapping (MPM). In this paper, we proposed weighted photolineaments factor (WPF) to generate a continuous weighted structural evidential map with high prediction rate and low uncertainty in Chahrgonbad area. The WPF which has four components was defined as weighted sum of the values related to four following characteristics of lineaments: (a) number, (b) length, (c) number of intersection and (d) number of directional sets. We used the extracted lineaments from geological map and processing of aeromagnetic data in our analysis to enhance the prediction rate of WPF map. The process was implemented using an effective multistage algorithm including: texture analysis, phase symmetry analysis, non-maximal suppression, thresholding, skeletonization and line fitting process. Afterward, values related to various characteristics of lineaments were extracted and transformed by a logistic function to improve their predictive ability. Then, using the concentration-area fractal model and prediction-area plot, the prediction rate of WPF components was derived and their importance weights were calculated using normalized density. Finally, the WPF map was generated and evaluated using location of 18 known mineral occurrences in the study area. The results demonstrated a good concordance with our previous geological knowledge and experience about Cu mineralization in Chahrgonbad area. The number of lineaments directional sets and the number of lineaments were recognized as structural criteria with the highest prediction rate for Cu prospectivity. The generated WPF map has a higher prediction rate (80%) in comparison with each individual component and delineated 20% of the study area as prospective target. Eventually, three zones with high structural permeability which are fertile environment for emplacement of intrusions, circulation of magmatic-hydrothermal fluids and Cu mineralization were delineated on the WPF map and proposed for further exploration.

中文翻译：

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加权光lineaments因子（WPF）：一种生成不确定性低的预测结构证据图的增强方法，以伊朗Chahargonbad地区为例

减少不确定性和提高证据图的预测率是矿物前景图（MPM）的两个重要目标。在本文中，我们提出了加权光子面因子（WPF）来生成连续的加权结构证据图，在查尔贡巴德地区具有较高的预测率和较低的不确定性。具有四个组成部分的WPF被定义为与以下四个线性要素特征相关的值的加权总和：（a）数量，（b）长度，（c）交集数量和（d）方向集数量。在我们的分析中，我们使用了从地质图和航空磁数据处理中提取的要素，以提高WPF图的预测率。该过程是使用有效的多阶段算法实现的，包括：纹理分析，相位对称分析，非最大抑制，阈值化，骨架化和线条拟合过程。之后，通过逻辑函数提取与谱系的各种特征相关的值，并对其进行转换以提高其预测能力。然后，使用浓度区域分形模型和预测区域图，得出WPF成分的预测率，并使用归一化密度计算其重要性权重。最后，使用研究区域中18个已知矿藏的位置生成并评估了WPF图。结果证明与我们先前关于查尔贡巴德地区铜矿化的地质知识和经验具有很好的一致性。定向排列集的数量和排列数量被认为是对铜的预测率最高的结构标准。与每个单独的组件相比，生成的WPF地图具有更高的预测率（80％），并划定了研究区域的20％作为预期目标。最终，在WPF图上划定了三个具有高结构渗透率的区域，这三个区域是有利的侵入侵入，岩浆热液循环和铜矿化的肥沃环境，并建议进一步勘探。