The Lead-zinc Deposit’s Remote Sensing Information Extraction And Metallogenic Prediction Study On TiBet Mamba Central Region

In this paper, my study is as the MamBa central region Gangdese keymetallogenic Belt to the study area.On the Basis of the analysis of the geologicalconditions and mineral distriBution law, using ETM and ASTER multispectral remotesensing data and a variety of remote sensing image processing and informationextractiontechnology to extract out of the Remote Sensing Alteration associated withmineralization exception information.ComBined with the geological, geophysical andother datas, For mineralization prognostic research Under the guidance of the modernmetallogenic theory,achieved the following main research results and understanding:(1)By preprocessing the study area’s ETM+, ASTER image data,and its ratioanalysis, principal component analysis,false color composite enhancement,extractthewall rock alteration anomalies that related to heat (liquid) alteration of the wall rockalteration anomalies.ASTER image’s shortwave infrared multi-Band is good atdeterminating the he different nature of alteration exception,and to assist ETM+image thinning and determine the extracted alteration type.ComBined with the actualstudy area,this article is finally adopted to interfere with the exception principalcomponent threshold for Remote Sensing Alteration InformationExtraction.Introducing the normal theory and the theory of errors,using (X+kσ)divided the aBnormal intensity level.On the extraction process, using multiple Bandsmask technology to remove the jagged Border, snow, clouds, water, shadow,vegetation, and other interference information that on the remote sensing image.(2)In the study of Remote Sensing Alteration Information Extraction,I hasanalysis the geological Basis and spectral precondition of remote sensing alterationinformation extraction,and made a introduction for commonly used remote sensingmineralization and alteration exception information extraction methods.According tothe development characteristics of the study area typical deposit alteration types,andthe spectral characteristics of the typical alteration minerals,my study divided Fillinghydrothermal vein-type lead-zinc deposits’s Remote Sensing Alteration Type intoSilicification, pyrite, sericite, carBonate, chlorite.Similarly,the StrataBoundhydrothermal skarn-type lead-zinc deposits’s Remote Sensing Alteration Type weredivided into Skarn, silicification, pyrite phyllic, carBonate–chlorite.(3)Re-assignment the Remote Sensing Alteration Information’s rightByGIS,superimposing on the study area’s Stratigraphy, lithology, known mine, alteration exception information,structure, gravity anomalies and Cihhang exceptioninformation,Builded a study area’s prospecting model that in order to structure (nearlyeast-west, north-south trending faults), magmatic rock or rock strains, remote sensingalteration anomalies, the Upper CarBoniferous-Lower Permian, Permian, Jurassicore-Bearing strata, aBnormal (Remote Sensing Alterationanomalies, geophysicalgravity, a Cihhang exception) as the focus.(4)According to the study area’s remote sensing alteration information,stratigraphy, lithology, structure and gravity and aeromagnetic anomaliescomprehensive analysis of the results, the study area were delineated into34prospecting targets.