Font Size: a A A

The Application Of Multi-source Remote Sensing Images In The Geological Structure Interpretation And Metallogenic Prediction At Eastern Kunlun Metallogenetic Belt’s East Area

Posted on:2016-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:N N LiuFull Text:PDF
GTID:2180330461995715Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Eastern Kunlun Metallogenetic Belt is located in the north rim of the qinghai-tibet plateau,the intersection portion of the tarim plate and South China- the Yangtze plate, Middle Kunlun fault and Southern Kunlun fault are nw trending across the entire area, The crustal structure is complex, ore-forming geological condition is well in the region of eastern,but due to the poor natural geographical conditions, the low degree of geological survey work,resulting in advantage mineral and main mineral potential is not clear, especially the remote sensing geological research work carried out less.The dissertation takes the Eastern Kunlun Metallogenetic Belt’s East area as the studied area, with the help of three different scale remote sensing image, focusing on the linear and circular structure information extraction study, in addition, extracting the metal mineralization alteration information using remote sensing techniques,combining geological, geophysical prospecting and chemical exploration material, basing on remote sensing prospecting model, carrying out the mineral deposit prediction research of Fe and Cu. The major findings are as follows:(1) Completely collected mineral spots and mineralized spots data of Fe and Cu-Ni metallic minerals of studied area, major ore-controlling structure, favorable metallogenic formation and rock mass, magmatic activity and wall rock alteration, and structure schematic diagram etc geological data, 1:100 M aeromagnetic anomaly data, 1:100 M bouguer gravity data, regional geochemical data etc. Data types include vector,raster,graphics and texts etc.(2) Attained Land Sat-8 OLI image data, GF-1 image data and a VV polarization Radar Sat-2 image of studied area, the dissertation implementes the data preprocessing for three different scale remote sensing image on ENVI 4.8 software platform, on the basis,extracting the hydroxyl and iron mineralization alteration information by OLI image,chosing OLI band combination and to study the structure information extraction. By eight different filtering algorithm for experiments to reduce SAR speckle noise, Choosing the Gamma-Map algorithm the optimal filtering algorithm for this experiment by quantitative assessment of filtering results.(3)The dissertation takes two different structure-enhanced method to extrude structure information using OLI image,and with reference to the study area 3 d images to extract the fault information in the study area.Taking the fusion experiments for GF-1 image and SAR image by four methods such as PCA、Brovey、HPF and Wavelet Transform,selecting PCA fusion image highlights ring structure information of not being identified by Land Sat-8 OLI image. In addition,it will better to extract linear structures of the key area by false color composite image of GF-1 of 4, 3, 2 bands.(4)Basing on Remote sensing anomaly information, remote sensing interpretation results, synthesizing the material of geological, geophysical prospecting, chemical exploration, on the basis of exploration model of RS,using comprehensive analysis method, carrying out the research of metallogenic prediction of Fe,Cu in the study area,finally Outlining one area of Level Ⅰ,two areas of Level Ⅱ and two areas of Level Ⅲwhich were identified as ore-hunting target,and compiling the maps of metallogenic prediction.
Keywords/Search Tags:optical remote sensing, SAR image, structure interpretation, alteration extraction, metallogenic prediction
PDF Full Text Request
Related items