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Remote Sensing Extraction Method Of Iron Ore Information And Its Metallogenic Model

Posted on:2020-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:L MaFull Text:PDF
GTID:2480306305499704Subject:Photogrammetry and Remote Sensing
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With the economic and social development,China's demand for mineral resources is increasing.There are many types of mineralization in Luxi,and there is a large prospecting space.Remote sensing prospecting method has not been deeply studied.Based on the previous research results,this paper uses the remote sensing image data of Landsat8 OLI,GF-3 and ASTER as the research area to study the information of iron mineralization alteration and geological interpretation.Combined with electric method exploration,the reasons for mineralization are analyzed,and the prospecting target area is finally delineated.The main research contents and achievements are as follows:(1)Obtain satellite remote sensing data and geological mineral data from the study area and conduct detailed classification and analysis.The OLI,GF-3,and ASTER data were preprocessed,and the normalized difference water index and the normalized difference vegetation index were used to remove the interference information,so as to prepare for the next extraction and interpretation work.(2)On the basis of collecting the spectral curves of 90 kinds of ground objects in the study area,the characteristics of the typical altered rock spectrum are analyzed.Principal component analysis and independent component analysis were performed in the ASTER partial image of the Huibaoling iron ore mine with known mineral distribution.The threshold segmentation method was used to classify the extraction results into abnormal levels,and the abnormal distribution of iron dye and hydroxyl was obtained.The results show:The independent component analysis method is better for extracting iron anomaly information,and the accuracy of principal component analysis for extracting hydroxyl anomaly information is higher.And apply this conclusion to the entire study area.(3)The lithology interpretation of the formation is carried out by using OLI data 752-band synthetic image and ASTER data 321-band synthetic image.The OLI data was used to construct the initial interpretation,and the GF-3 data was corrected.The directional filtering is used to highlight the topographical features,and the ASTER data hyperspectral advantage and the GF-3 data high-resolution advantage are fully utilized to obtain a comprehensive geological interpretation map of the study area.(4)Multivariate data integration ore prediction method is adopted.The alteration anomaly information,the formation lithology information,and the structural information are superimposed.The ore prediction area of Longbaoshan,Shikeng village,Shaiqianbu and Xiguanzhuang was delineated.Field verification using electrical exploration.The NW syncline structure of the Taishan Group is an important geological condition for the occurrence of iron ore in this area.According to the metallogenic conditions and exploration results.the metallogenic prediction area is determined as the A or B type prospecting target area.This paper uses advanced remote sensing technology and traditional geophysical exploration methods to carry out prospecting work.Combined with the geological and mineral resources of the study area,the prospecting target area with certain metallogenic potential is delineated.It provides ideas and theoretical references for prospecting work in the Luxi area and other similar areas.
Keywords/Search Tags:Mineralization alteration information extraction, Remote sensing geological interpretation, Electrical exploration, Metallogenic prediction
PDF Full Text Request
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