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Title: Laboratory Hyperspectral Image Acquisition System Setup and Validation
Authors: Morales Carreño, Alejandro 
Horstrand, Pablo 
Guerra, Raúl 
León, Raquel 
Ortega, Samuel 
Díaz Martín, María 
Melián, José M.
López, Sebastián 
López, José F. 
Callicó, Gustavo M. 
Martel, Ernestina 
Sarmiento, Roberto 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Aberrations
Hyperspectral Images
Image Acquisition
Issue Date: 2022
Journal: Sensors (Switzerland) 
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.
ISSN: 1424-8220
DOI: 10.3390/s22062159
Source: Sensors [ISSN 1424-8220], v. 22 (6), 2159, (Marzo 2022)
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