Design of an ISAR fusion imaging system based on an orthogonal matching tracking algorithm

Liting Jiao; Limin Liu; Wenhua Hu; Baofeng Guo

doi:10.1117/12.3004759

9 October 2023 Design of an ISAR fusion imaging system based on an orthogonal matching tracking algorithm

Liting Jiao, Limin Liu, Wenhua Hu, Baofeng Guo

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127912D (2023) https://doi.org/10.1117/12.3004759
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

The current conventional fusion imaging system mainly relies on the fusion of light scattering information to obtain imaging results, which leads to poor fusion imaging results due to the lack of correction and denoising of images. In this regard, the design of an ISAR fusion imaging system based on an orthogonal matching tracking algorithm is proposed. A long-wave infrared detector is used as the main acquisition design for infrared images, and the hardware structure of the system is designed. The non-uniformity of the IR image is corrected by combining the single-point correction algorithm, and the image is filtered and de-noised, and finally the image pixels are fused by the pixel weighting method. In the experiments, the proposed fusion imaging system is verified for its imaging performance. The experimental results show that the proposed fusion imaging system performs image fusion with low imaging ranging errors and has a more satisfactory fusion imaging performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liting Jiao, Limin Liu, Wenhua Hu, and Baofeng Guo "Design of an ISAR fusion imaging system based on an orthogonal matching tracking algorithm", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127912D (9 October 2023); https://doi.org/10.1117/12.3004759

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KEYWORDS

Image fusion

Imaging systems

Infrared imaging

Infrared radiation

Data acquisition

Detection and tracking algorithms

Image quality

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