空间外差光谱自适应基线校正研究

发布时间：2018-02-11 16:20

本文关键词： 遥感空间外差光谱仪自适应基线校正　出处：《光谱学与光谱分析》2017年09期 　论文类型：期刊论文

【摘要】：空间外差光谱具有较高的信噪比与光谱分辨率,在大气微量气体遥感领域得到重要应用,实现基线的自适应校正是光谱预处理的重要环节。基于光谱的特点,分别采用阈值拟合法和改进的经验模态法对实测近红外水汽空间外差光谱进行基线校正。结果表明,两种方法均能实现光谱基线的自动扣除;以光谱扭曲程度及光谱相似度对两种方法的校正效果进行定量评价,阈值拟合法校正后的光谱扭曲程度及光谱相似度为0.761和0.955,改进经验模态法的结果分别为0.717和0.954,说明改进经验模态法略优。在校正方法的耗时上,改进经验模态法以其特有的算法优势仅需较少的迭代次数就能获得最终的基线光谱,完成校正,耗时不足阈值拟合法的十分之一,效率更高。
[Abstract]:Spatial heterodyne spectrum has high signal-to-noise ratio and spectral resolution. It is very important to realize adaptive correction of baseline in the field of atmospheric trace gas remote sensing. The threshold fitting method and the improved empirical mode method are used to calibrate the spatial heterodyne spectrum of the measured near-infrared water vapor. The results show that both methods can realize the automatic deduction of the spectral baseline. The correction effects of the two methods were quantitatively evaluated by spectral distortion and spectral similarity. The corrected spectral distortion and spectral similarity of threshold fitting method are 0.761 and 0.955, and the results of improved empirical mode method are 0.717 and 0.954, respectively. The improved empirical mode method can obtain the final baseline spectrum with only a small number of iterations due to its unique advantages, and complete the correction, which is less than 1/10 of the threshold fitting method, so it is more efficient.
【作者单位】：桂林电子科技大学电子工程与自动化学院;广西高校光电信息处理重点实验室;中国科学院安徽光学精密机械研究所通用光学定标与表征技术重点实验室;
【基金】：国家自然科学基金项目(41561079,41201342) 广西教育厅项目(KY2015YB108) 广西自动检测技术与仪器重点实验室基金项目(YQ15105,YQ16105,YQ15111) 桂林电子科技大学创新团队项目资助
【分类号】：O657.3

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