Data Fusion And The Application Of Remote Sensing Data And Geochemical Data

With the national economy developed continuously and quickly,many multi-metal mineral resources face to the serious missing situation,which is not only restricted the development of economy,but also endangered the safety of national resources.Our country has already paid much attention about it. Mining exploring is more and more difficult with the mining exploring for a half century. Mine investigate in lie concealed, deeper and jumping-off district will be an important orientation of mining exploring. Therefore,it is necessary to look for a new method for information extracting. This become one of an important way to research the mining exploring by remote sensing,geology,geochemistry and so on.Comprehensive application study in remote sensing and multi-geoscience information is revealing various ways and different scale from attribution and characteristic belong to the object. Remote sensing makes use of differences between electromagnetism radiation to recognize and distinguish object, which has its good facet but also has limitation. It is proved that work along with the geology the increment of difficulties, remote sensing must learn the information with geology, geochemistry, etc and is closely combined the comprehensive application with multi-geoscience information. In that way, we can know essence and its mutual contact of object indeed, acquire the satisfied geology application result.As more and more information sources and styles, it is necessary to deeply study and analyze the information content that is complex and associated. In order to obtain more enough results than simplex fusion, the technique of data fusion is often used to deal with multi-variable data, which can effectively eliminate uncertain factors of data and improve the expression of object and environment and the veracity of result or explanation analysis. Geoscience special data put mlti-relativity and multidimensional enrich. Multi-relativity of geoscience special data put that special data of different subject specialty have a definite relative which is qualitative or quantitative, multi-relativity is a base of multi-geoscience special data fusion. Such as spectrum dimension variable of multi spectrum/spectral in remote sensing data,multi-element variable of geochemistry data and so on. Data fusion of multi-variable geoscience special data and the content of integrated information extract for method are keystones in field of globe system in recent.The thesis is picked from"A study of fusion methods of remote sensing data and geochemical data"(CGS), extracted alteration information, classified the element combination of geochemical datum, and the fusion of remote sensing datum and geochemical datum in the research area of Erentaolegai in inner Mongolia. Major findings are as follows:(1) Remote sensing alteration inforamtion extraction in the research areaWallrock alteration is an important indication in the process of searching hydrothermal deposit. There is always growing alteration rock around the mine body, as mineral components and structure of alteration rock have changed, its spectral characteristics have obvious differences in the range of certain different wavelength. According to ferric and hydroxyl has been enhanced in the ETM+ remote sensing data, the paper extracts clay-alteration information by characteristic principal component and ferric-alteration information by ratio in the research area of Erentaolegai in inner Mongolia. It also classfies the extracting information which will instruct us to investigate resource and obtains satisfying effect.(2) Element associations anomaly information of geochemical data extraction in the research area.Traditional methods of processing geochemical data mostly adopt symbolic statistic to deal with single element anomaly information and ensure the area of reconnaissance. The shortcoming of these only aim at single element and consider data value as primary research object, also, they have deficiency and limitation. With the manner of association, geochemical data have brought forth space distributing law and symbiosis association mode of mineral in any geological condition. According to it, the paper utilizes cluster analysis and R factor analysis to classify element association of geochemical data. element association by pedigree picture of cluster analysis identifies with element association by orthogonal rotate factor load matrix of R factor analysis. It proves that classified result is scientific and accurate. The paper also visualizes the element association and can catch the vision of area of anomaly and background, the impression is obvious.(3) Data fusion of remote sensing data and geochemical dataImage geochemical data and transforming scale are foundation of data fusion of remote sensing data and geochemical data. As geochemical data is vector format and remote sensing data is grid format, the paper uses appropriate interpolation algorithm to visualize geochemical data and transform it to grid image which identifies with remote sensing image. Base on remote sensing data, we switch geochemical data to it. The author makes use of HIS conversion and 2-dimension correlative coding to achieve feature level data fusion of remote sensing data and geochemical data and through differences of color to distinguish level of synthesis anomaly, it is also coincident with points of mineral. In conclusion, data fusion is one of an important method to search mineral by using remote sensing data and geochemical data.