Design of processable diffractive optical elements for hyperspectral imaging based on physical model driving

Yitong Pan; Zhenqi Niu; Chaoyang Wei

doi:10.1117/12.2683771

27 November 2023 Design of processable diffractive optical elements for hyperspectral imaging based on physical model driving

Yitong Pan, Zhenqi Niu, Chaoyang Wei

Author Affiliations +

Proceedings Volume 12768, Holography, Diffractive Optics, and Applications XIII; 127681W (2023) https://doi.org/10.1117/12.2683771
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

Hyperspectral imaging (HI) technology allows us to obtain the spatial and spectral information of target objects, thus having important and various application prospects among remote sensing detection, military reconnaissance, and other fields. Recently, snapshot HI systems have been favored widely due to their advantages including the miniaturization and the lightweight, to maintain the mainstream of HI technology research. D. S. Jeon et. al. used a single diffractive optical element (DOE) instead of multiple complex elements to modulate the diffractive wavefront which greatly reduce the system volume and be significant application potential in portable equipment and small payloads1. However, the minimum line width of surface micro structure on the DOE is restricted by the current processing capability, which has a negative impact on the wavefront modulation. Consequently, the high-performance DOE design method considering for machinability is an urgent problem to be solved. We proposed a high-performance processable DOE design method which utilizes the physical model to constrain the minimum line width in the DOE surface. By using the end-to-end deep learning method, achieving processable design of DOE has almost no impact on its performance and imaging quality of hyperspectral imaging systems. Proposed model overcomes the processing problem of DOE from a design perspective without sacrificing their functionality. Comparing to the results without the constraint of the physical model, the proposed physical model has significant effects in constraining surfaces.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yitong Pan, Zhenqi Niu, and Chaoyang Wei "Design of processable diffractive optical elements for hyperspectral imaging based on physical model driving", Proc. SPIE 12768, Holography, Diffractive Optics, and Applications XIII, 127681W (27 November 2023); https://doi.org/10.1117/12.2683771

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