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Research About The Way Of Sar Images For Information Extraction Of Active Faults And Its Application

Posted on:2012-12-06Degree:MasterType:Thesis
Country:ChinaCandidate:D ChenFull Text:PDF
GTID:2218330368988696Subject:Earth Exploration and Information Technology
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Using radar remote sensing(RS) data combined with optical RS data, this thesis mainly studied technical methods of detection of active tectonics based on radar RS, analysis and identification used in active tectonic and formation of the corresponding technical process. Besides, the paper studied radar RS image noise removal methods and radar and optical images fusion. For this, this paper first collected radar data, and tested the noise removal methods, of radar RS images with ENVI software, and introduces and improved a method of radar noise removal, second preprocessed radar RS images, based upon previous related work and results of previous studies, the paper induced and summarized a set of methods and processes of information extraction on radar images, which summarized interpreting marks of information extraction of the fault structure. Then the paper did experimental study in two experimental areas. One was Datong area, where there was more exposed fracture; anthor was capital area, where there was more insidious fault. And the results compared with other data. Finally, the paper improved and optimized methods and processes of radar RS research activities on construction.The results showed that the filtering effect with this paper improving complex filtering techniques was better than the filtering effect of the traditional filtering methods either by subjective evaluation criteria, or according to objective evaluation criteria. The methods of summarized early thematic information extraction had achieved good results in Datong area where faults were more exposed, and was able to appropriately quantize some of the parameters of the fracture. For example, the northern section of Kouquan fault was straight; the southern section showed a prominent arc of the north west. Kouquan fault was divided into four paragraphs from north to south port. They were Zhenchuanpu-emaokou, Emaokou-nanhecun, Nanhecun-shanyinxian and Shanyinxian-shuozhou. The trend were N30°E, N50°E, N315°E. and EW. Besides, there was a right-lateral strike slip component of the fault and the interpretation signs was that the flow of the former southeast trunen into the northeast after the fault. Fracture was located in the north west side of Kouquan mountain, where rive was dendritic and textures were rich; while textures were weak and river was linear. Alluvial fan developed behind the mountains, while Kouquan fault cutted roots fan. Based on this, the fault activities strongly. The paper inferred fault distribution in the direction of the surface based on indirect interpretation signs and the dew point in capital area where faults were more insidious, For example, Xiadian fault was most insidious, which there was fault scarp in only local area and the height was not more than 4m. So interpretation principles of RS was that fisrt interpretated the scarp of local sites. Then tracked buried fault between the two scarp and generally setted the orientation of fault. Finally, the thesis made a field survey of the faults and trenches authentication. The result showed that the effect of radar RS interpretation of near-surface concealed structure was good. Radar RS had its unique advantages in interpretation of active faults exposed, especially with the incident wave perpendicular to the body of linear structure, which was highlight lines on radar RS maps: when interpretated buried active faults in eastern China, radar penetration depth of the soil significantly reduced because of having a higher water content in eastern China, which limited radar detection depth. While radar could penetrate the Eastern Region of the vegetation, which was the advantage over optical RS.
Keywords/Search Tags:radar image processing, filtering, image fusion, methods and process of activity structure, information extraction
PDF Full Text Request
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