Real-Time Compensation for Unknown Image Displacement and Rotation in Infrared Multispectral Camera Push-Broom Imaging

Real-Time Compensation for Unknown Image Displacement and Rotation in Infrared Multispectral Camera Push-Broom Imaging

Digital time-delay integration (TDI) enhances the signal-to-noise ratio (SNR) in infrared (IR) imaging, but its effectiveness in push-broom scanning is contingent upon maintaining a stable image shift velocity. Unpredictable image shifts and rotations, caused by carrier or scene movement, can affect...

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Bibliographic Details
Main Authors: Tongxu Zhang, Guoliang Tang, Shouzheng Zhu, Fang Ding, Wenli Wu, Jindong Bai, Chunlai Li, Jianyu Wang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
digital domain time-delay integration
image shift compensation
uncooled IR detector
attitude correction
velocity-height ratio
remote sensing and sensors
Online Access:https://www.mdpi.com/2072-4292/17/7/1113
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Summary:Digital time-delay integration (TDI) enhances the signal-to-noise ratio (SNR) in infrared (IR) imaging, but its effectiveness in push-broom scanning is contingent upon maintaining a stable image shift velocity. Unpredictable image shifts and rotations, caused by carrier or scene movement, can affect the imaging process. This paper proposes an advanced technical approach for infrared multispectral TDI imaging. This methodology concurrently estimates the image shift and rotation between frames by utilizing a high-resolution visible camera aligned parallel to the optical axis of the IR camera. Subsequently, parameter prediction is conducted using the Kalman model, and real-time compensation is achieved by dynamically adjusting the infrared TDI integration unit based on the predicted parameters. Simulation and experimental results demonstrate that the proposed algorithm enhances the BRISQUE score of the TDI images by 21.37%, thereby validating its efficacy in push-scan imaging systems characterized by velocity-height ratios instability and varying camera attitudes. This research constitutes a significant contribution to the advancement of high-precision real-time compensation for image shift and rotation in infrared remote sensing and industrial inspection applications.
ISSN:2072-4292

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