一种移动背景下的污染气体遥感探测算法  

An Algorithm for Remote Sensing Gaseous Pollutants against Mutative Background

作　　者：熊伟[1] 方勇华[1] 黄烨[1] 董大明[1] 李大成[1] 叶松[1] 

机构地区：[1]中国科学院安徽光学精密机械研究所,安徽合肥230031

出　　处：《红外》2006年第2期6-10,共5页Infrared

摘　　要：作为一种有效的大气污染气体遥感探测识别手段,傅里叶变换红外光谱仪已经得到越来越广泛的应用。当污染气体与背景存在温差时,红外光谱就能反映出污染气体的吸收或发射特征。利用布鲁克公司的OPAG 22型光谱仪采样得到2048点的干涉图,当采用合适的信号处理算法时,可以在不需要预先测量背景的前提下直接分析干涉图得到污染气体的特征信号。本文介绍的快速背景扣除算法在污染气体的特征峰是单峰、多峰等情况下都能快速有效地扣除掉低频背景信号,检出目标特征。这一方法为快速移动背景下的污染气体探测识别研究提供了一个快速简便的方法。Environmental monitoring with Fourier Transform Infrared （FTIR） spectroscopy offers an effective method for the identification of hazardous gas pollutants. Infrared spectroscopy can reveal the spectral signatures of a pollutant when there is a temperature difference between the pollutant and the background radiation, resulting, in the emission or absorption by the pollutant. Appropriate signal processing techniques enable real-time detection and can neglect the need for background radiation references. An algorithm has been developed for the detection of gaseous pollutants with single- or multiple-peak spectra. The algorithm has been successfully used for the detection of methanol with single-peak spectral signature, and ammonia as the representative of multiple-peak spectral signature pollutants.

关 键 词：红外 傅里叶变换红外光谱仪 背景扣除 污染气体 遥感 

分 类 号：X831[环境科学与工程—环境工程]