Planar Large Field‐of‐View Spectral Imaging Based on Metasurface Array
Quan Yuan, Yuhang Yang, Qianhui Bi, Fei Wu, Haoxiang Yu, Ge Qin, Boxin He, Shujie Yang, Qingyue Zhen, Shuming Wang, Shining Zhu, Zhenlin Wang
Abstract
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.