像素
计算机科学
光谱带
基点
光谱成像
光学
图像分辨率
高光谱成像
光谱分辨率
过程(计算)
遥感
计算机视觉
人工智能
物理
地质学
天文
谱线
操作系统
作者
Thierry Colin,Gulnar Dagher,Cyrille Bonvalot,Romain Grille,Margaux Renaudat Saint-Jean,Jérome Fantini,Jérôme Coussement,Nicolas Péré‐Laperne,Stéphane Tisserand,Marc Hubert,Vincent Sauget,Kevin Bigot,Yves Courcol,Hervé Lonjaret
摘要
The short wave infrared (SWIR) spectral band is an emerging domain thanks to its large potential. Close to VISible/Near Infrared wavelengths, SWIR images interpretation is made easier for the users. In this spectral region, new opportunities can be found in several fields of applications such as defense and security (night vision, active imaging), space (earth observation), transport (automotive safety), or industry (nondestructive process control, food and plastic sorting). In the frame of this paper, two different developments of the InGaAs technology addressing emerging fields of SWIR imaging are described: pixel pitch reduction and multi-spectral imaging. In pixel pitch reduction the obvious objective is to increase the imaging resolution without jeopardizing system cost. Multi-spectral resolution deals, on the other hand, with interposition of pixelated filters in the optical path right onto SWIR focal plane arrays (FPA) to enable a real time spectral analysis of recorded SWIR images.
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