计算机科学
光谱成像
极化(电化学)
光学滤波器
计算机视觉
高光谱成像
光学
预处理器
人工智能
光谱分辨率
遥感
物理
谱线
化学
物理化学
天文
地质学
作者
Sumera Sattar,Pierre‐Jean Lapray,Lyes Aksas,Alban Foulonneau,Laurent Bigué
标识
DOI:10.1117/1.oe.61.4.043104
摘要
Spectral and polarization imaging (SPI) is an emerging sensing method that permits the analysis of both spectral and polarization information of a scene. The existing acquisition systems are limited by several factors, such as the space requirement, the inability to capture quickly the information, and the high cost. We propose an SPI acquisition system with a high spatial resolution that combines six spectral channels and four polarization channels. The optical setup employs two color-polarization filter array cameras and a pair of bandpass filters. We define the processing pipeline, consisting of preprocessing, geometric calibration, spectral calibration, and data transformation. We show that, around specular highlights, the spectral reconstruction can be improved by filtering the polarized intensity. We provide a database of 28 spectropolarimetric scenes with different materials for future simulation and analysis by the research community.
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