Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, F-68100 Mulhouse, France.
Department of Computer Science, Norwegian University of Science and Technology, 2806 Gjøvik, Norway.
Sensors (Basel). 2020 Dec 22;21(1):6. doi: 10.3390/s21010006.
Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels.
最近的成像技术能够联合捕捉光谱和偏振图像数据。为了允许计算成像技术的设计和未来对这些信息的处理,描述相关的图像统计信息是很有趣的。特别是,在本文中,我们展示了不同光谱偏振通道之间相关性的观测结果。分析是在几个为联合处理而统一的公共可用数据库上进行的。我们对几个特定的材料或反射类型的集群进行了全局研究和分析。我们观察到,偏振通道通常比光谱通道具有更多的通道间相关性。