• Acta Optica Sinica
  • Vol. 42, Issue 24, 2430001 (2022)
Feng Zhu1、2、3, Junshe An1、*, Hailiang Shi3, Wei Xiong3, and Xianhua Wang3
Author Affiliations
  • 1Key Laboratory of Electronics and Information Technology for Spacing Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    DOI: 10.3788/AOS202242.2430001 Cite this Article Set citation alerts
    Feng Zhu, Junshe An, Hailiang Shi, Wei Xiong, Xianhua Wang. Simultaneous Spatial and Spectral Information Recovery for Interferometric Imaging Spectrometer[J]. Acta Optica Sinica, 2022, 42(24): 2430001 Copy Citation Text show less

    Abstract

    On the basis of the imaging model of an interferometric imaging spectrometer, a novel model with a priori constraints is proposed to recover spatial and spectral information simultaneously. The nonnegative low rank property and total variation (TV) regularization are adopted to constrain the strong spectral correlation and spatial piecewise smoothness of recovered hyperspectral image, respectively. Meanwhile, the sparse noise and Gaussian noise in interferometric data are modeled by the L1 norm and Frobenius norm, respectively. The effectiveness of the proposed method is verified through comparative experiments on simulated and real interferometric data. Compared with traditional recovery methods for interferometric data, the proposed method not only recovers the spectral information of the object accurately but also effectively eliminates the degradation effect of mixed noise in the interferogram. As a result, the data quality of the recovered hyperspectral image is improved.
    Feng Zhu, Junshe An, Hailiang Shi, Wei Xiong, Xianhua Wang. Simultaneous Spatial and Spectral Information Recovery for Interferometric Imaging Spectrometer[J]. Acta Optica Sinica, 2022, 42(24): 2430001
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