Kosec Matjaž, Bürmen Miran, Tomaževič Dejan, Pernuš Franjo, Likar Boštjan
Sensum, Computer Vision Systems, Tehnološki park 21, 1000 Ljubljana, Slovenia.
Opt Express. 2013 May 20;21(10):12085-99. doi: 10.1364/OE.21.012085.
A significant part of the uniformity degradation in the acquired hyperspectral images can be attributed to the coregistration distortions and spectrally and spatially dependent resolution arising from the misalignments and the operation principle of the spectrograph based hyperspectral imaging system. The aim of this study was the development and validation of a practical method for characterization of the geometric coregistration distortions and position dependent resolution. The proposed method is based on modeling the imaging system response to several affordable reference objects. The results of the characterization can be used for calibration of the acquired images or as a tool for assessment of the expected errors in various hyperspectral imaging systems.
在获取的高光谱图像中,均匀性下降的一个重要部分可归因于基于光谱仪的高光谱成像系统的未对准和工作原理所导致的配准失真以及光谱和空间相关的分辨率。本研究的目的是开发并验证一种用于表征几何配准失真和位置相关分辨率的实用方法。所提出的方法基于对成像系统对多个价格合理的参考物体的响应进行建模。表征结果可用于对获取的图像进行校准,或作为评估各种高光谱成像系统中预期误差的工具。