DataVXApplied SciencesPaper
journal article·2025-01-22Open access

Regulated Power Supply with High Power Factor for Hyperspectral Imaging Applications

Jose M. Cabrera-Peña, Raquel Leon, Samuel Ortega, Himar Fabelo, Eduardo Quevedo, Gustavo M. Callico

Applied Sciences· Volume 15· Issue 3
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Source abstract

Abstract

Illumination is a crucial factor in hyperspectral imaging systems. In this respect, this work is focused on analyzing the influence of the light power source in acquiring hyperspectral images. To this end, a custom regulated power supply was designed and developed. This power supply was then integrated into a hyperspectral acquisition system, and several light stability measurements were conducted. Finally, several parameters related to the stability of the light produced by those systems were extracted using image analysis techniques, and a statistical comparison among the different power supplies was performed. Two commercial power supplies were also analyzed under the same experimental conditions and compared with the proposed power supply. The hyperspectral measurements were conducted using light transmission and reflectance. The results indicate that the proposed power supply performs better than or at least as well as commercial power supplies in terms of light stability. Additionally, this study shows the impact of power supply design on the stability and quality of hyperspectral illumination, especially concerning the signal-to-noise ratio (SNR) across different spectral bands. It is shown that optimizing the design of the power supply could improve light stability in hyperspectral imaging applications.
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Research context

OpenAlex topics: Molecular Communication and Nanonetworks

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain

Nofima—Norwegian Institute of Food Fisheries and Aquaculture Research, NO-9091 Tromsø, Norway

Department of Mathematics and Statistics, UiT The Arctic University of Norway, NO-9091 Tromsø, Norway

Fundacion Canaria Instituto de Investigacion Sanitaria de Canarias (FIISC), 35012 Las Palmas de Gran Canaria, Spain

Research Unit, Hospital Universitario de Gran Canaria Dr. Negrin, 35010 Las Palmas de Gran Canaria, Spain

Funding

Spanish Government and European Union (FEDER funds) · TALENT-HExPERIA (HypErsPEctRal Imaging for Artificial intelligence applications) · OASIS (Open AI-Driven stack para plataformas HPEC mejoradas en sistemas integrados) · “Agencia Canaria de Investigacion, Innovacion y Sociedad de la Información (ACIISI)” of the “Consejería de Economía, Conocimiento y Empleo” of the “Gobierno de Canarias” · European Social Fund (FSE)

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