Image Processing Systems Institute of RAS-Branch of the Federal Scientific Research Centre Crystallography and Photonics of Russian Academy of Sciences, 151 Molodogvardeyskaya St., 443001 Samara, Russia.
Department of Technical Cybernetics, Samara National Research University, 34 Moskovskoe Shosse, 443086 Samara, Russia.
Sensors (Basel). 2021 Nov 19;21(22):7694. doi: 10.3390/s21227694.
We propose a novel type of spectral diffractive lenses that operate in the ±1-st diffraction orders. Such spectral lenses generate a sharp image of the wavelengths of interest in the +1-st and -1-st diffraction orders. The spectral lenses are convenient to use for obtaining remotely sensed vegetation index images instead of full-fledged hyperspectral images. We discuss the design and fabrication of spectral diffractive lenses for measuring vegetation indices, which include a Modified Red Edge Simple Ratio Index and a Water Band Index. We report synthesizing diffractive lenses with a microrelief thickness of 4 µm using the direct laser writing in a photoresist. The use of the fabricated spectral lenses in a prototype scheme of an imaging sensor for index measurements is discussed. Distributions of the aforesaid spectral indices are obtained by the linear scanning of vegetation specimens. Using a linear scanning of vegetation samples, distributions of the above-said water band index were experimentally measured.
我们提出了一种新型的光谱衍射透镜,它在±1 阶衍射级工作。这种光谱透镜在+1 阶和-1 阶衍射级产生感兴趣波长的清晰图像。光谱透镜在获得遥感植被指数图像而不是全谱图像方面非常方便。我们讨论了用于测量植被指数的光谱衍射透镜的设计和制造,其中包括改进的红色边缘简单比值指数和水带指数。我们报告了使用光刻胶中的直接激光写入合成具有 4 µm 微凸起厚度的衍射透镜。讨论了在成像传感器的原型方案中使用所制造的光谱透镜进行指数测量。通过植被标本的线性扫描获得了上述光谱指数的分布。通过对植被样本的线性扫描,实验测量了上述水带指数的分布。