Infrared sea clutter suppression method based on gradient filtering

Haolong Tang; Dongming Lu; Liping Wang; Guohua Gu

doi:10.1117/12.2652036

23 January 2023 Infrared sea clutter suppression method based on gradient filtering

Haolong Tang, Dongming Lu, Liping Wang, Guohua Gu

Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 125572B (2023) https://doi.org/10.1117/12.2652036
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

Point-clutter and strip wave often exist in infrared images of sea surface, which will cause great disturbance to ship target detection. In most cases, the noise in infrared image can be suppressed by image denoising. However these sea clutter are different from typical noise in infrared images and cannot be removed by traditional denoising methods. We study the background characteristics of infrared sea clutter and propose a sea clutter suppression method based on gradient filtering. Our method can keep the details of ship target while smoothing the clutter background, and can be used as an effective preprocessing method for infrared ship target detection. The experimental results show that our method is superior to the other four methods in sea clutter suppression and measurement indexes. Our method can effectively suppress the infrared clutter background and keep the structural characteristics and details of the ship target, which greatly enhances the separability of the ship target. In the future, our method needs to further improve the timeliness and reduce the algorithm complexity.

Citation Download Citation

Haolong Tang, Dongming Lu, Liping Wang, and Guohua Gu "Infrared sea clutter suppression method based on gradient filtering", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 125572B (23 January 2023); https://doi.org/10.1117/12.2652036

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KEYWORDS

Infrared radiation

Infrared imaging

Image filtering

Optical filters

Target detection

Infrared detectors

Detection and tracking algorithms

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