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Research on the Sequential Images Registration of the Temporally and Spatially Modulated Fourier Transform Spectrometer

机译:时空调制傅立叶变换光谱仪的序列图像配准研究

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摘要

Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer (TSMFTIS) is a new imaging spectrometer without moving mirror and slit. Through scanning, it can acquire sequential images superposed with interference fringes. The interferogram can be acquired by orderly arranging the extracted interference information of the same spatial point from the sequential images, and the spectrum can be recovered by using FFT. Therefore, the attitude of the bearing platform will affect the images so as to reduce the accuracy of the recovered spectrums. Since current attitude measurement accuracy can not meet the needs of error correction, in this paper, the image registration method is applied to acquire the accurate translations for the future correction between two sequential images. The single-step DFT registration method is applied to register the selected window areas away from the null optical path difference position in sequential images. That is full utilizing of common information meanwhile reducing impact of interference fringes and improving registration accuracy and efficiency. In the simulation experiment, a common large remote sensing image is used as ground object. The Fourier shift principle is applied to acquire simulation scanning images with sub-pixel displacement. Artificial spectral data cube produced with the RGB values of each image is utilized as the input data of the TSMFTIS, and sequential images superposed with interference fringes are acquired. Registration according to the method mentioned above is performed and the results are compared with the accurate values. It shows that the method is feasible and can achieve sub-pixel level accuracy.
机译:时空调制傅立叶变换成像光谱仪(TSMFTIS)是一种新型的成像光谱仪,无需移动反射镜和狭缝。通过扫描,它可以获取叠加有干涉条纹的连续图像。可以通过从顺序图像中依次排列所提取的相同空间点的干扰信息来获取干涉图,并且可以通过使用FFT恢复频谱。因此,承载平台的姿态会影响图像,从而降低恢复光谱的准确性。由于目前的姿态测量精度无法满足误差校正的需求,因此本文采用图像配准方法来获取准确的平移,以供将来在两个连续图像之间进行校正。单步DFT配准方法适用于在连续图像中配准远离空光程差位置的选定窗口区域。这充分利用了公共信息,同时减少了干扰条纹的影响并提高了配准的准确性和效率。在模拟实验中,将普通的大型遥感图像用作地面物体。傅里叶位移原理适用于获取具有亚像素位移的模拟扫描图像。将利用每个图像的RGB值生成的人工光谱数据立方体用作TSMFTIS的输入数据,并获取叠加有干涉条纹的连续图像。根据上述方法进行配准,并将结果与​​准确值进行比较。结果表明,该方法是可行的,可以达到亚像素级的精度。

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