Optical imaging method of space target based on compressive sensing

Hang Yin; Yuqing Liu; Shuge Wang; Jiaqi Zhang

doi:10.1117/12.2690290

17 August 2023 Optical imaging method of space target based on compressive sensing

Hang Yin, Yuqing Liu, Shuge Wang, Jiaqi Zhang

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Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 127570R (2023) https://doi.org/10.1117/12.2690290
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China

Abstract

Compressive sensing theory can reduce the cost of image processing, which can be used in many fields. Based on the sparse characteristics of space target image, this theory has a good application prospect in the field of space optical observation. The practical application of compressive sensing contains three steps: sparse representation, coding measurement and sparse reconstruction. This paper applies compressive sensing theory in optical imaging of space target by learning dictionary sparse representation, non-coherent measurement matrix and orthogonal matching pursuit reconstruction. In order to study the effect of this application, the evaluation index is constructed by peak signal-to-noise ratio and structural similarity. The simulation results show that this theory can sense the space target in low data amount and reconstruct the image in a good quality. This conclusion provides a feasible method for the application of compressive sensing in space-borne imaging system.

Citation Download Citation

Hang Yin, Yuqing Liu, Shuge Wang, and Jiaqi Zhang "Optical imaging method of space target based on compressive sensing", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 127570R (17 August 2023); https://doi.org/10.1117/12.2690290

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KEYWORDS

Matrices

Image restoration

Chromium

Associative arrays

Reconstruction algorithms

Compressed sensing

Optical imaging

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