Paper
12 April 2023 A new calibration method of camera arrays based on infinite scene registration for long-range infrared detection
Shengjie Liu, Hao Cui, Junwei Li, Shengqian Wang, Kai Wei
Author Affiliations +
Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 1256535 (2023) https://doi.org/10.1117/12.2663041
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China
Abstract
Infrared camera arrays have previously demonstrated the potential for long-range detection due to their distributed aperture structures, but their performance is affected by the calibration procedure. The widely used calibration method based on image registration estimates the transformation matrix between different cameras by extracting matching features, and its accuracy is limited by low-resolution infrared images. To solve this problem, a new calibration method based on infinite scene registration is developed, which has high registration accuracy and is easy to implement. The results of the laboratory experiment demonstrate that the signal-to-noise ratio of the point target is improved by 1.86 with the proposed method, which proves the effectiveness and competitiveness of the proposed method. Finally, the measured data of long-range aircraft further verifies the feasibility of the proposed method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shengjie Liu, Hao Cui, Junwei Li, Shengqian Wang, and Kai Wei "A new calibration method of camera arrays based on infinite scene registration for long-range infrared detection", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 1256535 (12 April 2023); https://doi.org/10.1117/12.2663041
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KEYWORDS
Calibration

Infrared cameras

Signal to noise ratio

Infrared imaging

Image registration

Infrared detection

Target detection

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