摘要
小波方法作为近年来兴起的一种数据挖掘方法已经应用于地震科学的研究领域。本文介绍了如何利用小波极大值法提取长波辐射值中的地震异常信息，即利用连续小波变换方法计算小波极大值，依据长波辐射在时间、空间上的连续性得出研究区的小波极大值分布，通过分析图中小波极大值的分布形态来识别地震异常，并以汶川地震为例介绍了如何利用小波极大值法提取长波辐射中的地震异常。
In recent years, wavelet transform as a data mining method has been applied to the field of earthquake science. The present paper proposes a method to detect seismic anomalies in outgoing longwave radiation using wavelet maxima, that is, to use continuous wavelet transform methods to compute wavelet maxima, and plot curves of wavelet maxima based on the continuity in time and space of outgoing longwave radiation. Seismic anomalies are identified by analyzing the distribution of wavelet maxima in the curves. Finally, we take Wenchuan earthquake as an example to illustrate how to use the method of wavelet maxima to detect seismic anomalies in outgoing longwave radiation.
出处
《地震》
CSCD
北大核心
2009年第B10期98-104,共7页
Earthquake
基金
“十一五”国家科技支撑计划项目（2008BAC35B05）
关键词
小波方法
小波极大值
长波辐射
地震异常
热红外遥感
Wavelet method
Wavelet maxima
Outgoing longwave radiation
Earthquake anomalies
Thermal infrared remote sensing
