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15 December 2023 DNU-Net for infrared small target detection
Yishu Lin, Jin Zhou, Gang Zhang, Sijie Kong, Kehu Zhou
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Proceedings Volume 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023); 129710D (2023) https://doi.org/10.1117/12.3017747
Event: Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023, Changchun, China
Abstract
Single-frame infrared small target detection plays a crucial role in various applications, such as monitoring critical areas at airports, ensuring flight safety, and surveillance of unmanned aerial vehicles (UAVs). However, detecting small targets in infrared images is challenging task due to factors like imaging distance, image quality, target environment, and diverse target types. To improve the detection of small targets within complex backgrounds, we redesign the backbone network and transform the detection task into an image binary segmentation problem. Firstly, we introduced Ublock module to capture contextual information surrounding small targets. Additionally, we employ deconvolution to enhance the resolution of downsampled images. Furthermore, we introduce multiple top-down and bottom-up pathways for feature fusion. Lastly, we incorporate attention modules after each Ublock module to highlight the small targets more effectively. Experimental results demonstrate the effectiveness of our proposed method in enhancing infrared small target detection.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yishu Lin, Jin Zhou, Gang Zhang, Sijie Kong, and Kehu Zhou "DNU-Net for infrared small target detection", Proc. SPIE 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023), 129710D (15 December 2023); https://doi.org/10.1117/12.3017747
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KEYWORDS
Target detection
Small targets
Infrared imaging
Infrared detectors
Object detection
Image segmentation
Tunable filters
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