Paper
13 December 2024 Acquisition of spectral reflectance of the ocean surface based on multispectral imaging
Author Affiliations +
Proceedings Volume 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications; 134960Q (2024) https://doi.org/10.1117/12.3047733
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China
Abstract
In this paper, we propose using a snapshot narrow-band multi-spectral imaging system to capture the spectral images of the ocean surface and reconstruct its spectral reflectance. Specifically, a multi-spectral camera with a set of nine narrowband filters and a monochrome camera were used to capture the spectral images of the ocean surface, and the cubic spline interpolation method was used to reconstruct the spectral reflectance curves from the spectral images. In order to examine the validity of our system, the multi-spectral images of the ColorChecker cards in a light booth were captured, and the spectral reflectance curves of them were reconstructed. The experimental result shows that with the spectral range of 400 to 700 nm and the spectral interval of 10 nm, the average spectral root-mean-square error between the standard samples and the reconstructed samples is 0.0114, the average spectral similarity index between them is 95.87%, and the average CIE1976L*a*b* color difference is 2.48. Furthermore, the real experiment was conducted on the sea area of China; the spectral images of the ocean surface were captured from different zenith angles, and the spectral reflectance curves of them were reconstructed. The experimental results show that the values of spectral reflectance of the ocean surface were influenced by the imaging angles.
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Zhongwei Chen, Guoying Yao, Yumei Li, and Hanjiang Song "Acquisition of spectral reflectance of the ocean surface based on multispectral imaging", Proc. SPIE 13496, AOPC 2024: Optical Sensing, Imaging Technology, and Applications, 134960Q (13 December 2024); https://doi.org/10.1117/12.3047733
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KEYWORDS
Reflectivity

Imaging systems

Cameras

Image restoration

Tunable filters

Color difference

Image filtering

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