平面的
材料科学
领域(数学)
光学
平面阵列
光谱成像
光电子学
物理
计算机科学
计算机图形学(图像)
数学
纯数学
作者
Quan Yuan,Yuhang Yang,Qianhui Bi,Fei Wu,Haoxiang Yu,Ge Qin,Bingze He,Shujie Yang,Qingyue Zhen,Shuming Wang,Shining Zhu,Zhenlin Wang
标识
DOI:10.1002/adom.202402507
摘要
Abstract Achieving high‐performance spectral imaging over large fields of view (FOV) has remained challenging, particularly with conventional bulky optical systems. Here, a compact transversely dispersive metasurface array is introduced, designed for wide FOV spectral imaging. The system achieves efficient aperture encoding via distinct phase gradients tailored to different incident angles. A genetic algorithm optimizes the spectral reconstruction process, allowing for high‐accuracy imaging with a single snapshot. The system demonstrates 120° FOV spectral imaging across 11 channels in the 400–700 nm visible range, using a 91 × 91 metasurface array with 81.5% efficiency in light focusing and first‐order diffraction. This approach represents an advancement over traditional methods, offering broad potential in material classification, chemical analysis, remote sensing, and defect detection.
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