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哈达玛变换光谱成像仪光谱响应非均匀性修正
作者姓名:Liu CF  Hu BL  Wei RY  Yan P
作者单位:中国科学院西安光学精密机械研究所光谱成像技术重点实验室;中国科学院研究生院
基金项目:国家自然科学基金项目(40805013);国家重点基础研究发展计划项目(2009CB724005)资助
摘    要:哈达玛变换光学是近些年发展起来的一门新技术,已经被广泛应用于目标设别、微弱信号检测等领域。基于DMD的哈达玛变换光谱成像仪是一种新型的色散型光谱成像仪。介绍了哈达玛变换成像原理,在自行研制的哈达玛变换光谱成像仪基础上,从光谱定标的角度,研究了哈达玛变换光谱成像仪获得的编码图像的光谱响应非均匀性。针对哈达玛变换光谱成像仪获得的光谱图像中叠加非均匀性噪声及光谱混叠影响光谱复原精度的问题,首次在该光谱成像仪上利用辐射度相对光谱修正和绝对光谱修正算法,对光谱响应非均匀性进行修正。仿真计算和实验结果表明,对于哈达玛变换光谱仪采集的七个波段的光谱图像,修正后的光谱曲线与辐射度计获得的谱线精度非常接近,使复原光谱的误差在2.4%~4.2%的范围,满足实验室和工程应用的技术要求。

关 键 词:哈达玛变换  非均匀性修正  复原光谱精度

The melioration on spectra response heterogeneity of hadamard transform spectral imager
Liu CF,Hu BL,Wei RY,Yan P.The melioration on spectra response heterogeneity of hadamard transform spectral imager[J].Spectroscopy and Spectral Analysis,2012,32(5):1427-1430.
Authors:Liu Cai-fang  Hu Bing-liang  Wei Ru-yi  Yan Peng
Institution:Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an 710119, China. liucaifang206@sina.com
Abstract:Hadamard transform optics has been developed in the past decades. It has been used in distinguishing targets, detecting feeble signals and so on. Hadamard transform spectral imager (HTSI), based on digital micro-mirror device, is a new dispersion spectral imager. HTSI has been developed in our laboratory. The spectral heterogeneity of encoded image captured by HTSI has been researched according to spectrum calibration in this paper. Relative and absolute spectrum emittance calibration algorithms have been proposed first time on HTSI to meliorate the spectrum heterogeneity. It aims at the problem that the accuracy of recovered spectrum is depressed by the heterogeneity noise and disorder encoding spectrum in spectral image. Simulation and experiment result have demonstrated that the meliorated spectral curve is close to the standard spectrum, and the variance of the recovered spectrum ranges from 2.4% to 4.2% with regard to the spectral image of 7 waves. This is fully satisfied for the requirement of laboratory and projects.
Keywords:Hadamard transform  Heterogeneity melioration  Accuracy of recovered spectrum
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