Sippel F, Seiler J, Kaup A (2024)
Publication Language: English
Publication Type: Journal article
Publication year: 2024
Book Volume: 41
Pages Range: 2303-2315
Journal Issue: 12
URI: https://opg.optica.org/josaa/fulltext.cfm?uri=josaa-41-12-2303&id=562685
DOI: 10.1364/JOSAA.536572
Open Access Link: https://arxiv.org/abs/2407.09038
Retrieving the reflectance spectrum from objects is an essential task for many classification and detection problems, since many materials and processes have a unique spectral behavior. In many cases, it is highly desirable to capture hyperspectral images due to the high spectral flexibility. Often, it is even necessary to capture hyperspectral videos or at least to be able to record a hyperspectral image at once, also called snapshot hyperspectral imaging, to avoid spectral smearing. For this task, a high-resolution snapshot hyperspectral camera array using a hexagonal shape is introduced. The hexagonal array for hyperspectral imaging uses off-the-shelf hardware, which enables high flexibility regarding employed cameras, lenses, and filters. Hence, the spectral range can be easily varied by mounting a different set of filters. Moreover, the concept of using off-the-shelf hardware enables low prices in comparison to other approaches with highly specialized hardware. Since classical industrial cameras are used in this hyperspectral camera array, the spatial and temporal resolution is very high, while recording 37 hyperspectral channels in the range from 400 to 760 nm in 10 nm steps. As the cameras are at different spatial positions, a registration process is required for near-field imaging, which maps the peripheral camera views to the center view. It is shown that this combination using a hyperspectral camera array and the corresponding image registration pipeline is superior in comparison to other popular snapshot approaches. For this evaluation, a synthetic hyperspectral database is rendered. On the synthetic data, the novel approach, to our knowledge, outperforms its best competitor by more than 3 dB in reconstruction quality. This synthetic data is also used to show the superiority of the hexagonal shape in comparison to an orthogonal-spaced one. Moreover, a real-world high-resolution hyperspectral video database with 10 scenes is provided for further research in other applications.
APA:
Sippel, F., Seiler, J., & Kaup, A. (2024). High-resolution hyperspectral video imaging using a hexagonal camera array. Journal of the Optical Society of America A: Optics and Image Science, and Vision, 41(12), 2303-2315. https://doi.org/10.1364/JOSAA.536572
MLA:
Sippel, Frank, Jürgen Seiler, and André Kaup. "High-resolution hyperspectral video imaging using a hexagonal camera array." Journal of the Optical Society of America A: Optics and Image Science, and Vision 41.12 (2024): 2303-2315.
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