Jin Senlin, Hui Wangwei, Liu Bo, Ying Cuifeng, Liu Dongqi, Ye Qing, Zhou Wenyuan, Tian Jianguo
Appl Opt. 2016 Jun 20;55(18):4808-13. doi: 10.1364/AO.55.004808.
A spectral single-pixel imaging system facilitates effective image compression, but the imaging region is limited by its single detector. This paper presents a hyperspectral camera that allows extended-field coverage to be collected by one detector. Compressive data of a large field of view is achieved by our highly sensitive detection camera, which can be extended to near-infrared or infrared spectral monitoring. We acquire a hyperspectral datacube of 256×256 spatial pixels and 3 nm spectral resolution at a sampling rate of 25%. Finally, we apply our camera to monitoring fruit freshness nondestructively by differentiating a banana's ripeness over time.
光谱单像素成像系统有助于实现有效的图像压缩，但其成像区域受单个探测器的限制。本文提出了一种高光谱相机，该相机可通过一个探测器实现扩展视野覆盖。我们的高灵敏度检测相机实现了大视场的压缩数据采集，该相机还可扩展到近红外或红外光谱监测。我们以25%的采样率获取了一个256×256空间像素且光谱分辨率为3纳米的高光谱数据立方体。最后，我们将我们的相机应用于通过随时间区分香蕉的成熟度来无损监测水果新鲜度。
