基于地基雷達的滑波形變監(jiān)測與分析
[Abstract]:Landslide is one of the typical geological hazards around Sichuan Basin. On the one hand, it is affected by the internal factors such as tectonic movement of the earth itself, on the other hand, it is also affected by human activities such as water conservancy facilities and underground engineering, which has caused serious casualties and economic losses to the surrounding residents. It is urgent to develop scientific and effective new monitoring approaches and early warning techniques for landslides. There are many problems in spatial resolution, measurement accuracy, climate constraints, timeliness and effectiveness of existing ground monitoring methods and spatial remote sensing techniques. In recent years, the ground-based synthetic aperture Interferometric Radar (SAR) has made great progress in this field, which has fully demonstrated its great application potential, important practical significance and economic value. However, the short-wave band used by ground-based radar is easily affected by the atmosphere in the actual monitoring process. In view of this problem, this paper proposes a multi-model atmospheric correction algorithm based on the combination of domestic and foreign scholars and applies it to the actual landslide monitoring and analysis. The oblique projection makes the imaging very different from the conventional image, especially in the mountainous area with complex terrain, which makes the image interpretation very difficult. In view of this, this study improves the projection correction on the basis of visual field analysis. The specific work of this paper is as follows: (1) In order to better study the atmospheric correction, the reference country. Based on the research and development of corner reflector by different scholars at home and abroad, a three-dimensional mobile platform has been developed independently. The platform has the advantages of high precision, easy operation, stability and small volume. The algorithm chooses effective stabilization points from signal-to-noise ratio and phase stability, compares and analyzes them with different models according to the number of stabilization points in time domain, and chooses appropriate models to reduce the error caused by manual intervention. (3) Projection correction based on visual field analysis. In order to effectively eliminate the errors in projection correction, this paper analyzes the obtained data in the visual field before projection correction, removes the invisible area in the radar view angle, and improves the search efficiency and reliability. Interoperability. (4) Landslide monitoring and analysis of the Ya'an Qiaoqi Reservoir based on ground-based radar. Landslides around the reservoir are serious, seriously threatening the safety of people and property. This paper uses ground-based radar to monitor and study the landslide. The multi-model correction algorithm proposed in this paper effectively eliminates the regional atmospheric impact. The data obtained and the actual investigation show that the landslide has the creep characteristics. The study shows that the deformation of the two areas in the monitoring area is relatively large, which deserves special attention. The atmospheric correction error caused by element has good applicability in the practical application of landslide. The simulation results show that the projection correction algorithm based on visual analysis can effectively improve the reliability of projection correction, and it has practical feasibility.
【學位授予單位】:西南交通大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P642.22
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