Abstract
Hyperspectral Imaging (HSI) techniques have demonstrated potential to provide useful information in a broad set of applications in different domains, from precision agriculture to environmental science. A first step in the preparation of the algorithms to be employed outdoors starts at a laboratory level, capturing a high amount of samples to be analysed and processed in order to extract the necessary information about the spectral characteristics of the studied samples in the most precise way. In this article, a custom-made scanning system for hyperspectral image acquisition is described. Commercially available components have been carefully selected in order to be integrated into a flexible infrastructure able to obtain data from any Generic Interface for Cameras (GenICam) compliant devices using the gigabyte Ethernet interface. The entire setup has been tested using the Specim FX hyperspectral series (FX10 and FX17) and a Graphical User Interface (GUI) has been developed in order to control the individual components and visualise data. Morphological analysis, spectral response and optical aberration of these pushbroom-type hyperspectral cameras have been evaluated prior to the validation of the whole system with different plastic samples for which spectral signatures are extracted and compared with well-known spectral libraries.
Highlights
Over the last few decades, hyperspectral imaging (HSI) technology has gained momentum because of its capability to providing abundant spectral information of the scene, allowing subtle differences between elements that are sometimes imperceptible for other technologies to be uncovered
The aberrations caused by the optics and the sensor and the spectral response are measured on the camera device
In this work a laboratory hyperspectral acquisition system has been engineered based on a linear displacement, an appropriate illumination system, a sealed cage to contain the light, mechanical 3D modelling and software modules supported by open-source packages
Summary
Over the last few decades, hyperspectral imaging (HSI) technology has gained momentum because of its capability to providing abundant spectral information of the scene, allowing subtle differences between elements that are sometimes imperceptible for other technologies to be uncovered. For each acquisition, an image calibration has to take place, consisting of converting the digital numbers captured by the sensor to the actual percentage of light that is reflected by the objects in the scene This is accomplished by acquiring two additional frames with the camera, one of a certified material that reflects almost all the light and one with the lens shut. The system has been validated using different methodologies to test quality and accuracy of both the spectral and the spatial information acquired These methodologies, which include low-cost and easy to reproduce methods for detecting spectral aberrations such as smile and keystone, are presented and explained.
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