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摘要： 以菲律宾吕宋岛中央山脉（中科迪勒拉山）斑岩铜金矿战略选区为研究区域，分析该地区斑岩铜金矿的地质背景及主要蚀变矿物在ASTER遥感影像中的光谱特征，利用克罗斯塔技术提取矿化蚀变信息，建立遥感找矿模型以圈定找矿靶区。针对遥感分析中因矿化蚀变信息较弱而导致难以提取的问题，提出一种基于目标特征的主成分分析方法，以特定信息增强的特征向量为基础对整个研究区进行变换处理，达到有选择性的增强目标弱信息的目的，从而成功提取出较为准确的铁染、泥化和青磐岩化蚀变信息。最后在综合考虑控矿构造、控矿岩体和蚀变信息的基础上建立了菲律宾斑岩铜金矿遥感地质找矿模型，并最终圈定6处找矿有利地段。  关键词： 菲律宾;  ASTER;  斑岩铜金矿;  主成分分析;  蚀变信息;  找矿模型     Abstract: In order to build the remote sensing prospecting model for porphyry copper\|gold deposits and delineated prospecting target area in the porphyry copper\|gold deposits strategic area of Cordillera Central in Luzon (Philippines)，the geological background of the porphyry copper\|gold deposits and the spectral characteristics of the main altered minerals are analyzed in detail，and the mineralizing alteration information is extracted from ASTER remote sensing data using the Crosta technique.To increase the proportion of weak alteration information which is hard to extract，a principal component analysis (PCA)approach based on object’s character was proposed in this paper.The principle of this approach is that calculating the feature vector based on the specific alteration mineral and applying them in the whole study area in PCA，which can enhance the weak alteration information in a directed way and avoid the strong background information and noises.On the basis of the approach iron dye，argillization and propylitization alteration information are extracted precisely.After consider the ore\|controlling structure，rock mass and alteration information comprehensively，A remote sensing geological prospecting model of porphyry copper\|gold deposits in the study area is established and finally 6 preferable ore\|finding area are delineated.

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