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Applied Research Of The Subarea Standardization Method In The Remote Sensing Prospecting

Posted on:2012-05-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:L J JiangFull Text:PDF
GTID:1100330335452047Subject:Institute of Geochemistry
Abstract/Summary:PDF Full Text Request
Using remote sensing technique to detect and locate the mineral information have been the main aspect of remote sensing geology application, mineralized alteration information extraction is the first and must solved problem. Alteration information refers to synthetical spectral information including all kinds of background spectrum reflected by integrative wallrocks in the spatial entity which is benefit to the metallization taking place in the remote sensing imagery. The background spectrum refers to some environment background such as the spectrum of soil, vegetation, and etc. Altered information as a weak information exists in remote sensing information in the background. Although near-ore wall rock alteration altered rock formation different from normal wall rocks in image texture under the influence of comprehensive factors such as mineral composition, color, the surface status.At present, remote sensing thematic information extraction mainly use single threshold parameter in the same area. In fact, thematic information background characteristics have certain differences in different landscapes, mean that have background space points heterosexual. Such as altered information detection in different landscape, altered abnormalities, background and interference are three must studied factors. But background and interference are complex and confusing, it is hard to be completely clear defined in practical work. For remote sensing abnormal information (including abnormal information extraction's quality and precision) mainly controlled by regional factors (area parameters) which decide feature's essential characteristics and space-time change characteristics. Regional parameters can be divided into the leading factor and environmental factor. The leading factor the feature area parameters which cause the remote sensing altered abnormal features, including lithology. structure, the intensity of magmatic hydrothermal activity (altered degree), etc. Environmental factor is the space conditionality regional parameters related to remote sensing altered abnormal or geological anomalies. Including terrain/landscape, soil, vegetation and climate conditions in remote sensing altered abnormal or metallogenic rock/dikes environment space. Therefore, remote sensing altered information extraction must consider its existing geological, geographical background. Therefore, remote sensing altered information extraction must consider its existing geological, geographical background on the different background partition, in order to eliminate various lithology (structure) and the background environmental impact.Due to the limitations of single data sources, using remote sensing data and geochemical data fusion to extract anomaly information has become the main means of ore prospecting. The purpose of Remote sensing and geochemical data fusion is excavate comprehensive prospecting information, provide geological prospecting more reliable basis. Remote sensing data's different bands reacts features' different aspects of composition, target structure, construction and other informations. Remote sensing technology have achieved significant results in predicting favorable ore-prospecting segment, selecting the aspects of ore prospecting target area. But because of the complexity of metallogenic conditions, remote sensing data influenced by light and atmospheric conditions, ground vegetation coverage, data resolution factors, the extraction of anomaly information can be achieved only qualitative and semi-quantitative degree, cannot completely identify whether information extracted is meaningful mineralization information. Geochemical data through different elements and their combination to react the migration and enrichment regularity of surface systems element. Influenced by complex geological condition, the anomaly information extracted from geochemical data may ignore some important low abnormality area or because of certain factors and exaggerate some anomaly area. Result in the extract results have some limitations and multi-solutions. Remote sensing and geochemical data is the performance of surface geological or geological phenomenon physical properties, chemical properties, the mineral or chemical compositions'characteristic spectral is the response to geochemistry of remote sensing. They exist certain correlation in the mechanism. The purpose of remote sensing and geochemical data fusion processing is complement each other's advantages, improve the accuracy of the anomaly information extraction, to provide geological prospecting more reliable information.This paper's topic is intermediate infred multiple/high spectrum mineral mapping and remote sensing anomaly information extraction technology application research, do a further research to the principle and method of remote sensing altered anomaly information extraction, mainly obtain the achievement below.1. Based on spectral theory and geological prospecting theory, do a systematically research and summary to remote sensing altered anomaly information conventional extraction principle and method, found the remote sensing altered information obtain only from the spectral data is hard to precisely help the geological survey and mineralize prediction. Propose the concept that remote sensing altered abnormal formation controlled by cause area parameters and space regional parameter.2. Under the guidance of the afore-mentioned concepts, through field work and geological data summary, do further research to cause area parameters and space regional parameter in the study area, determine the partition principle and put forward partition standardization method, from the lithology, structure and vegetation coverage area parameter did partition drawings in the study area.3. Analyze different division of remote sensing geology background parameters, realized remote sensing anomaly information partition, grading quantification and thematic mapping expression.4. Start from the physical mechanism of remote sensing altered abnormal formation, based on remote sensing altered-mineral components of correlation analysis, do remote sensing and geochemical data fusion research from the mineral components aspect. Emphasis on the registration and quantization corresponding relations between the space of geochemical data and remote sensing data. Get the contacts of space and cause to do the data fusion, then reconstruction the data. To further improve the remote sensing altered anomaly information cause regional parameters accuracy.5. Comprehensive spectral altered abnormal, lithology tectonic division. vegetation partition and geochemical data fusion, systematic research the partition standardization method and delineate the mineralization vision zone.6. Main innovate points(1) Propose the concept that remote sensing altered abnormal formation controlled by cause area parameters and space regional parameter.The guiding significance for ore-prospecting altered information depends on geological environment factors such as the lithology, structure, magmatic hydrothermal activity, at the same time, constraint by Remote sensing altered abnormal or environmental space such as terrain/landscape, soil, vegetation and climate conditions which the rock/dikes lies. Simply use spectral data to extract altered anomalies exist certain defects. In abnormal extraction, must consider the decisive factor-regional parameters.(2) Propose remote sensing partition standardization method and applied to remote sensing altered anomaly information extraction research.Through the lithologic tectonic division, vegetation coverage partition research, using different parameters and method in different partition to extract remote sensing altered anomaly information.
Keywords/Search Tags:remote sensing altered anomaly, cause area parameter, Space conditionality regional parameters, partition standardization, data fusion
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