Study on the influence of spectral overflow and its correction method of push broom static hadamard transform spectral imager

Yingshu Zhou; Xiaohui Gao; Jie Liu; Xuebin Liu

doi:10.1117/12.2647236

20 January 2023 Study on the influence of spectral overflow and its correction method of push broom static hadamard transform spectral imager

Yingshu Zhou, Xiaohui Gao, Jie Liu, Xuebin Liu

Author Affiliations +

Proceedings Volume 12558, AOPC 2022: Optical Spectroscopy and Imaging; 1255807 (2023) https://doi.org/10.1117/12.2647236
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

Hadamard transform spectral imaging technology has high signal-to-noise ratio and the advantage in energy distribution. In recent decades, related works focus on dynamic coding Hadamard spectral imager instead of static coding ones. The latter has great potential value in spaceborne and airborne applications, but the accuracy of its restored spectral image data is poor at present. Therefore, it is necessary to further study the formation mechanism and correction method of errors in static coding Hadamard spectral imager. In this paper, the influencing mechanism and correction method of spectral overflow are studied. Firstly, the imaging and restoration process of the Hadamard coding spectral imager with spectral overflow is mathematically deduced, and the conclusion is compared with the simulated restoration results. Secondly, the simulated results are compared with the experimental data, verifying that spectral overflow is an important source of the error in experimental results. Finally, a correction method for eliminating spectral overflow errors under certain conditions is proposed, and the effectiveness of the method is verified by simulation. This paper can provide reference for the design and data restoration of static coding Hadamard spectral imager.

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Yingshu Zhou, Xiaohui Gao, Jie Liu, and Xuebin Liu "Study on the influence of spectral overflow and its correction method of push broom static hadamard transform spectral imager", Proc. SPIE 12558, AOPC 2022: Optical Spectroscopy and Imaging, 1255807 (20 January 2023); https://doi.org/10.1117/12.2647236

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KEYWORDS

Imaging systems

Image processing

Sensors

Error analysis

Imaging spectroscopy

Spectral data processing

Computer programming

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