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机构地区:[1]Institute of Space Optics, School of Science, Xi'an Jiaotong University
出 处:《Chinese Optics Letters》2016年第12期136-140,共5页中国光学快报(英文版)
基 金:supported by the Major Program of the National Natural Science Foundation of China(No.41530422);the National Science and Technology Major Project of the Ministry of Science and Technology of China(No.32-Y30B08-9001-13/15);the National Natural Science Foundation of China(Nos.61275184,61540018,61405153,and 60278019);the National High Technology Research and Development Program of China(No.2012AA121101)
摘 要:A background removal method based on two-dimensional notch filtering in the frequency domain for polarization interference imaging spectrometers(PIISs) is implemented. According to the relationship between the spatial domain and the frequency domain, the notch filter is designed with several parameters of PIISs, and the interferogram without a background is obtained. Both the simulated and the experimental results demonstrate that the background removal method is feasible and robust with a high processing speed. In addition, this method can reduce the noise level of the reconstructed spectrum, and it is insusceptible to a complicated background, compared with the polynomial fitting and empirical mode decomposition(EMD) methods.A background removal method based on two-dimensional notch filtering in the frequency domain for polarization interference imaging spectrometers(PIISs) is implemented. According to the relationship between the spatial domain and the frequency domain, the notch filter is designed with several parameters of PIISs, and the interferogram without a background is obtained. Both the simulated and the experimental results demonstrate that the background removal method is feasible and robust with a high processing speed. In addition, this method can reduce the noise level of the reconstructed spectrum, and it is insusceptible to a complicated background, compared with the polynomial fitting and empirical mode decomposition(EMD) methods.
关 键 词:notch filtering fitting reconstructed pixel polynomial restore powerful scene feasible
分 类 号:TN713[电子电信—电路与系统] TH744.1[机械工程—光学工程]
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