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首页> 外文会议>ISPRS (International Society for Photogrammetry and Remote Sensing) Workshop on Spatial Analysis and Decision Making; Dec 3-5, 2003; Hong Kong, China >A noise model based on a wavelet multi-scale expression and its application to the visualization of spatial activity anomalies of earthquakes
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A noise model based on a wavelet multi-scale expression and its application to the visualization of spatial activity anomalies of earthquakes

机译：基于小波多尺度表达的噪声模型及其在地震空间活动异常可视化中的应用

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摘要

A noise model based on an a trous wavelet algorithm produces a multi-scale expression of images through the combination of wavelet transform and a testing model of statistical significance. This kind of expression not only gives the formation and location of image structures in different scales, but also eliminates the influence of noise. Since the algorithm does not need any a priori hypotheses, it is suitable for data with complex structures. The aim of this paper to analyse the spatial activities of earthquakes. Specifically, the method of visualizing the multi-scale spatial activities of earthquakes is discussed in this paper. Taking typical sequences in Southwest China as research cases, we systematically study the structural characteristics of the spatial activities of earthquakes on different scales. The results show that, to some extent, multi-scale spatial structures possess an indicative effect on strong epicenters. The foreshock anomalies of the Songpan seismic sequence also reveal interesting patterns during spatial-temporal evolution.
机译：基于小波小波算法的噪声模型通过小波变换和具有统计意义的测试模型的组合产生图像的多尺度表达。这种表达方式不仅给出了不同尺度下图像结构的形成和位置，而且消除了噪声的影响。由于该算法不需要任何先验假设，因此适用于结构复杂的数据。本文旨在分析地震的空间活动。具体来说，本文讨论了可视化地震多尺度空间活动的方法。以西南地区典型地震序列为研究案例，系统地研究了不同尺度地震空间活动的结构特征。结果表明，在一定程度上，多尺度空间结构对强震中具有指示作用。松潘地震序列的前震异常也揭示了时空演化过程中有趣的模式。

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