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Research On Exception Respons From Remote Sensing And The Region Of Qiaoxiahala Polymetallic Mineralizaiton Alteration

Posted on:2015-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:G LvFull Text:PDF
GTID:2180330431991923Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Remote sensing technology for its short,efficient features in the process ofintegrated information metallogenic prediction plays leading role. Research andapplication of remote sensing image information extracted ore is also widespreadattention. Extracting geological information and mineralization and alteration ofinformation technology is the main route to work. In our multi-Gobi desert, a largearea of bedrock outcrops in the western region, the research results on mineralexploration work conducted to provide evidence and guidance.In this paper Saerbulake-Aktas eastern metallogenic belt, Xinjiang Altay regionas Qiaoxiahala study area, select Qiaoxiahala copper polymetallic deposits in theregion focusing on the study, combined with the geological foundation data,applications of remote sensing prospecting first advantage of using ASTER data-richfeature spectral response bands, extracting information research in the area of remotesensing prospecting. By pre-processing and geological structure and mineralizationand alteration information extraction work on ASTER images, explore theestablishment of the research area of remote sensing prospecting mark. Extractinggeological information interpreted using a combination of human-computer method;mineralized alteration information extraction, according to the alteration andmineralization alteration mineral deposit types contain standard spectral curve existsin the United States in the corresponding USGS spectral library ASTER bandcharacteristic data were extracted. To build regional metallogenic prediction model forthe purpose of prospecting targets for the post-delineated vision to provide technicalsupport.
Keywords/Search Tags:Remote sensing prospecting, ASTER data processing, Structuralinformation, Alteration information, Remote sensing prospecting indicators
PDF Full Text Request
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