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Wall rock alteration remote sensing anomaly information quantitative extraction

Author: JiaTingFang
Tutor: YinZuo
School: Kunming University of Science and Technology
Course: Applied Computer Technology
Keywords: Remote sensing Alteration abnormal Quantify ERDAS Spatial Modeler
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 65
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Abstract


The use of image processing software and its secondary development platform processing space remote sensing data has become an important means for a quick understanding of a variety of natural and social phenomena and its distribution pattern . Geological industry , alteration exception information can indicate prospecting direction in the 70s of the last century have used this means of information extraction . Alteration Remote Sensing exception information extracted using the previous method achieved a certain effect , but for the disruptors coverage area larger areas , appears the following three aspects : First, the background conditions of the different geological mineralization alteration abnormal differences in the information on the reaction did not participate in the information extraction process , only a small number of documents in the metallogenic prediction made ??qualitative theory of evaluation and analysis ; Secondly , the processing of the confounding factors is relatively simple , remove all confounding factors , some alteration abnormality information is also removed , affecting the integrity of the information extracted retain the part of the weak interference factors , will produce a lot of dummy information , influence the accuracy of the extracted information ; third, in previous studies , failure to achieve a remote sensing alteration exception information on the true meaning of quantitative classification extracted . Therefore , this paper intends to adopt a method of quantitative extraction process of wall-rock alteration remote sensing anomaly information . In this process , the introduction of school information mineralization contribution weighting factor involved in the information extraction process , at the same time to distinguish between high, moderate , interference-free area , information extraction method , based on the quantitative classification of mathematical statistics , can be a good solution The above three issues . Process implementation the Spatial Modeler tool in ERDAS IMAGINE 9.1 software , a spatial model , programming , achieve rapid removal of interference mask principal component analysis and hierarchical extraction . Raster vectorization using ArcGIS secondary development tools . Net - based platform for the development of the application of the removal of the \Finally , the use of the methods and processes of the technology , combined with EIM (Earth Thematic Mapper) and ASTER (Advanced Spaceborn Therma l Emission and reflection Radiometer) remote sensing imaging technology demonstration of the exploration right block area iron , hydroxyl alteration quantification of remote sensing anomaly information extraction. Field exploration results show that the method processes have achieved good results in the demonstration area .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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