Snapshot Broadband Hyperspectral Imaging Based on Bimaterial Stitching Metasurface

We propose a bimaterial stitching metasurface-based snapshot imaging system for real-time broadband hyperspectral imaging. By integrating a co-optimized neural network, our system captures 61-channel hyperspectral images across 400-1000 nm in few exposures.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109368
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

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Snapshot Broadband Hyperspectral Imaging Based on Bimaterial Stitching Metasurface

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Snapshot Broadband Hyperspectral Imaging Based on Bimaterial Stitching Metasurface

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article en

Abstract

We propose a bimaterial stitching metasurface-based snapshot imaging system for real-time broadband hyperspectral imaging. By integrating a co-optimized neural network, our system captures 61-channel hyperspectral images across 400-1000 nm in few exposures.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Information Photonics and Optical Communications
National Natural Science Foundation of China, Beijing University of Posts and Telecommunications, Fundamental Research Funds for the Central Universities
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Openalex Percentile: Top 87%
Metamaterials and Metasurfaces Applications
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