子波变换及其在污染云团红外光谱监测与识别中的应用

The Application of Wavelet Analysis of Remote Detection of Pollution Clouds

应用离散子波变换进行污染云团红外光谱信号分析及特征提取。离散子波变换具有时 频分析特性 ,能将信号的细微变化反映出来。对实时遥感获取的目标云团作离散子波变换分析的结果表明 :离散子波变换可明显提高目标云团的特征 ,十分有利于光谱的识别。

The discrete wavelet transform (DWT) is used to analyse the spectra of pollution clouds in complicated environment and extract the small-features. The DWT is a time-frequency analysis technology, which detects the subtle small changes in the target spectrum. The results show that the DWT is a quite effective method to extract features of target-cloud and improve the reliability of monitoring alarm system.