Laboratory Hyperspectral Image Acquisition System Setup and Validation
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/6/2159 |
| _version_ | 1797442429462249472 |
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| author | Alejandro Morales Pablo Horstrand Raúl Guerra Raquel Leon Samuel Ortega María Díaz José M. Melián Sebastián López José F. López Gustavo M. Callico Ernestina Martel Roberto Sarmiento |
| author_facet | Alejandro Morales Pablo Horstrand Raúl Guerra Raquel Leon Samuel Ortega María Díaz José M. Melián Sebastián López José F. López Gustavo M. Callico Ernestina Martel Roberto Sarmiento |
| author_sort | Alejandro Morales |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T12:41:43Z |
| format | Article |
| id | doaj.art-461476e41a064fdfb6db9d255a26ddf7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T12:41:43Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-461476e41a064fdfb6db9d255a26ddf72023-11-30T22:17:03ZengMDPI AGSensors1424-82202022-03-01226215910.3390/s22062159Laboratory Hyperspectral Image Acquisition System Setup and ValidationAlejandro Morales0Pablo Horstrand1Raúl Guerra2Raquel Leon3Samuel Ortega4María Díaz5José M. Melián6Sebastián López7José F. López8Gustavo M. Callico9Ernestina Martel10Roberto Sarmiento11Institute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainInstitute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, SpainHyperspectral 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.https://www.mdpi.com/1424-8220/22/6/2159hyperspectral imagesaberrationsvalidationimage acquisition |
| spellingShingle | Alejandro Morales Pablo Horstrand Raúl Guerra Raquel Leon Samuel Ortega María Díaz José M. Melián Sebastián López José F. López Gustavo M. Callico Ernestina Martel Roberto Sarmiento Laboratory Hyperspectral Image Acquisition System Setup and Validation Sensors hyperspectral images aberrations validation image acquisition |
| title | Laboratory Hyperspectral Image Acquisition System Setup and Validation |
| title_full | Laboratory Hyperspectral Image Acquisition System Setup and Validation |
| title_fullStr | Laboratory Hyperspectral Image Acquisition System Setup and Validation |
| title_full_unstemmed | Laboratory Hyperspectral Image Acquisition System Setup and Validation |
| title_short | Laboratory Hyperspectral Image Acquisition System Setup and Validation |
| title_sort | laboratory hyperspectral image acquisition system setup and validation |
| topic | hyperspectral images aberrations validation image acquisition |
| url | https://www.mdpi.com/1424-8220/22/6/2159 |
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