模糊逻辑模型在珠勒地区遥感找矿中的应用  

Application of Fuzzy Logic Model in Remote Sensing for Mineral Exploration in the Jhule Area

作　　者：王生礼 李志军[1] 余杰 司永强 WANG Sheng-li;LI Zhi-jun;YU Jie;SI Yong-qiang(School of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]成都理工大学地球科学学院,成都610059

出　　处：《科学技术与工程》2024年第1期134-142,共9页Science Technology and Engineering

基　　金：中国地质调查项目(DD20221684)。

摘　　要：近年来遥感技术在地质矿产勘察中发挥着重要作用,基于多源遥感数据对蚀变矿物的提取在工作中大大缩减了靶区范围和时间成本。基于Landsat-9、ASTER和Sentinel-2遥感数据开展西藏珠勒地区的矿物蚀变信息的增强与提取。通过线性隶属函数将多源遥感数据主成分分析(principal component analysis,PCA)中的特征分量归一化后采用Fuzzy Gamma算子进行叠加绘制找矿靶区。实验中γ参数的设置分别是0.7、0.75、0.8、0.85和0.9,最终经过试验测定γ=0.85效果相对较好。实验共圈定了8个靶区,通过野外调查验证了该方法在高海拔地区靶区圈定的可行性。同时,野外调查结果显示该地区发育高硫型浅成低温热液蚀变矿物组合,具有斑岩-浅成低温热液矿床的成矿潜力。In recent years,remote sensing technology has played an important role in geological and mineral exploration,and the extraction of alteration minerals based on multi-source remote sensing data has greatly reduced the range of target areas and time cost in the work.The enhancement and extraction of mineral alteration information in Tibetan Jhule area was carried out based on Landsat-9,ASTER and Sentinel-2 remote sensing data.The feature components in the principal component analysis(PCA)of multi-source remote sensing data were normalized by linear affiliation function and then superimposed by Fuzzy Gamma operator to map the mineral search target area.The γ parameters were set as 0.7,0.75,0.8,0.85 and 0.9 in the experiment,and finally γ=0.85 was determined to be relatively good after the experiment.A total of 8 target areas were circled,and the feasibility of the method in target area circling at high altitude was verified by the field survey.Meanwhile,the field investigation results show that the area has developed high sulfur type shallow-forming low-temperature hydrothermal alteration mineral assemblage,which has the potential of porphyry-shallow-forming low-temperature hydrothermal deposits.

关 键 词：西藏革吉 靶区圈定 模糊逻辑模型 多源遥感 矿产勘察 

分 类 号：P627[天文地球—地质矿产勘探]