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The Analysis On The Sensitivity Of The Multispectral Remote Sensing Resolution To The Laterite Nickel Mineralization Abnormal Information Response And The Extraction Method Research

Posted on:2019-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2370330548474360Subject:Cartography and Geographic Information System
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Laterite nickel ore is an important strategic resources,for the research of the extraction laterite nickel ore of mineralization anomaly information have great significance.Landsat-8 OLI and ASTER are two kinds of multispectral data source,which are commonly used mineralization anomaly information extraction,but the research on remote sensing anomaly spectral response and the sensitivity are not comprehensive;Previous studies usually to mask the noise,which caused weak mineralization anomalies information lost,and reduced the integrity and accurcy of the extraction results.Research has focused on the anomaly extraction such as hydroxyl and iron abnormal,for characteristics mineral fine extraction research is less,especially to the laterite nickel ore characteristics mineral abnormal extraction.Based on the above shortage,the objective of this study is to extract mineralization anomaly,respectively using Landsat 8 OLI and ASTER remote sensing data,the sensitivity response characteristics of different spectral resolution multispectral remote sensing data to the anomaly ion groups(Fe2+/Fe3+and OH-)under complex geological background are analyzed in detail;Use ASTER data,exploring and constructing the refined extraction method of mineral anomaly information of Laterite nickel ore in the research area.In this research,we achieved the following main results and understanding:1.Under the complex geological background,ASTER data is more sensitive to the laterite nickel ore mineralization anomaly ionic groups(Fe2+/Fe3+ and OH-).Choose the ASTER remote sensing data as the laterite nickel ore mineralization characteristics mineral abnormal information extraction data sources.(1)Aster data is more sensitive to mineralization anomaly information,and more mineralization anomaly information is extracted.Espectively used Landsat-8 OLI and ASTER remote sensing data,which has different spectral resolution,through principal component analysis(PCA),extracted the hydroxyl and iron abnormal information.Compared the extraction results,combined with the comparison and analysis of the spectral resolution with multispectral data sources and their response sensitivity to mineralized anomaly information,Showed that two kinds of different spectral resolution data source to extract the abnormal information distribution position almost the same,but ASTER data extracted more abnormal information,the hydroxyl anomaly information has increased 57.97%,48.56%increased by iron anomaly information.(2)Aster data are sensitive to the extraction of mineralization anomaly information in the high vegetation coverage area.Considered vegetation cover and other complicated geologic background conditions,comprehensive comparative analysis was conducted to analyze the sensitivity of the remote sensing data of landsat-8 OLI and ASTER to the extraction of hydroxyl and iron anomaly information.Studies showed that OLI data only responsed to iron abnornal information in vegetation coverage range<0.79,and only responsed to hydroxyl abnornal information in vegetation coverage range<0.72.But the ASTER data has a better response to iron abnornal information in vegetation coverage range 0.79-0.86,and a better response to hydroxyl abnornal information in vegetation coverage range 0.72-0.78.2.Used ASTER data,introduced the S-A multifractal method,constructed "PCA +S-A multifractal"laterite nickel ore mineralization characteristics of fine mineral abnormal information extraction method.Through the comparison and analysis of the extraction results,combined with geological data and field verification,come to the conclusion that the PCA+S-A method is much more better than the Principal Component method for laterite nickel ore mineralization characteristics mineral abnormal information extraction.Used the ASTER data,according to the spectral characteristics of characteristics mineral,The principal component analysis and PCA+S-A method were applied to extracte Limonite,serpentine,chlorite,talc,montmorillonite and kaolinite,the six characteristics mineral anomaly information of laterite nickel ore respectively.Comparative analysis of the characteristics mineral anomaly information extracted result by different methods.Results show that use PCA+S-A multifractal method can extract more accurate and comprehensive anomaly information,especially for serpentine and montmorillonite.Therefore,the PCA+S-A multifractal method is much more better than the Principal Component method for extract the anomaly information of characteristics mineral.
Keywords/Search Tags:The mineralization anomaly information, Landsat-8 OLI and ASTER, Sensitivity analysis, Principal component analysis, PCA+S-A fractal method, laterite nickel ore
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