高光谱成像
全光谱成像
光学
光谱成像
遥感
图像分辨率
光谱分辨率
成像光谱学
分类
波长
分辨率(逻辑)
光谱带
近红外光谱
计算机科学
物理
人工智能
地质学
谱线
天文
程序设计语言
作者
Stefan Heist,Chen Zhang,Karl Reichwald,Peter Kühmstedt,Gunther Notni,Andreas Tünnermann
出处
期刊:Optics Express
[The Optical Society]
日期:2018-08-28
卷期号:26 (18): 23366-23366
被引量:68
摘要
Measuring the shape (coordinates x, y, z ) and spectral characteristics (wavelength-dependent reflectance R (λi)) of macroscopic objects as a function of time (t) is of great interest in areas such as medical imaging, precision agriculture, or optical sorting. Here, we present an approach that allows to determine all these quantities with high resolution and accuracy, enabling measurement in five dimensions. We call this approach 5D hyperspectral imaging. We describe the design and implementation of a 5D sensor operating in the visible to near-infrared spectral range, which provides excellent spatial and spectral resolution, great depth accuracy, and high frame rates. The results of various experiments strongly indicate the great benefit of the new technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI