无背景遥感FT-IR干涉图特征信息提取方法

为改进环境监测方法，结合遥感辐射传输模型，介绍了被动遥感傅里叶变换红外干涉图特征信息提取方法。该算法可直接对污染气体的遥感傅里叶变换红外干涉图进行处理，并利用数字带通滤波器压缩背景红外辐射及其他干扰物质。实现了目标特征信息的有效提取，无需对原始干涉图做傅里叶变换即可获得光谱，特别是无需使用背景光谱获得差谱或者比谱，克服了必须测量干净背景谱的限制。实验结果表明，经过特征信息提取的干涉图可用于模式识别和定量分析，效果良好。

Methods of characteristic information extractiong of non-background remote sensing FT-IR interferograms

To improve the method for environment monitoring, the algorithm of extracting characteristic information on non-background remote sensing Fourier transform infrared interferograms is proposed based on the remote sensing radiation transfer model. The algorithm processes remote sensing Fourier transform infrared intefferograms directly, and makes use of the digital bandpass filter to suppress background infrared radiation and other interfered information. The characteristic information extraction of target is realized.The algorithm does not need to transform raw interferogram to spectrum; especially not to measure the clean background spectra for obtaining the difference spectra or ratio spectra. The faltered interferograms may be used in pattern recognition and quantitative analysis.