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23 January 2023 Airborne infrared small target recognition algorithm based on improved efficientdet
Jiale Song, Tong Liu, Dezhen Yang, Jiangyong Li
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Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 1255719 (2023) https://doi.org/10.1117/12.2651526
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China
Abstract
Aiming at the problems of small size and complex background of infrared targets detected at long distances in airborne aerial scenes, the average recognition rate is low, and the real-time performance of the airborne infrared target recognition algorithm is high. In this paper, an improved EfficientDet infrared small target recognition algorithm was proposed. First, an Unsharp Masking method suitable for small infrared target data enhancement is used to enhance the target edge and detail information; Secondly, GhostNet was used as the backbone network of the model, which greatly reduces the amount of parameters of the model and improved the inference speed of the model; Finally, the Coordinate Attention module was used. It was applied to the feature layer extracted by the feature extraction network, which increased the feature expression ability of the network and prompted the network to accurately capture the position information of the small infrared target. The experimental results show that the average accuracy of the optimized algorithm in pure background, complex background, small-scale target and multi-target application scenarios is improved by 2.24%, and the FPS reaches 46.56. Small target recognition provides the basis for edge computing.
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Citation Download Citation
Jiale Song, Tong Liu, Dezhen Yang, and Jiangyong Li "Airborne infrared small target recognition algorithm based on improved efficientdet", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 1255719 (23 January 2023); https://doi.org/10.1117/12.2651526
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KEYWORDS
Detection and tracking algorithms
Infrared radiation
Target recognition
Infrared imaging
Target detection
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