ACTA AERONAUTICAET ASTRONAUTICA SINICA >
An infrared small target detection method based on key point
Received date: 2022-10-26
Revised date: 2022-11-09
Accepted date: 2023-03-20
Online published: 2023-03-21
Supported by
National Natural Science Foundation of China(62276061)
Infrared small target detection aims to detect infrared dim small targets from complex background. With wide application of this technology in monitoring and early warning systems， precise guidance， etc.， how to realize fast and accurate detection of infrared small targets is of great importance. Existing traditional algorithms often result in missed detection or false detection， and the detection method based on semantic segmentation in deep learning is easy to be affected by “over segmentation” and “under segmentation”. To address these problems， an infrared small target detection algorithm is proposed based on key point detection （KeypointNet）. The main innovations of this study are as follows. First， The coordinates of the target center point is directly optimized， improving detection efficiency and effectively ensuring the detection rate and false alarm rate of the target. Second， a low-high level feature fusion module is designed to obtain multi-scale information of the target and improve the detection effect. Experimental results on relevant data sets show that in comparison with other algorithms， the algorithm proposed can achieve better effect， with the detection rate reaching 97.58% and the false alarm rate being reduced to less than 2%.
Qiang WANG , Letian WU , Yong WANG , Huan WANG , Wankou YANG . An infrared small target detection method based on key point[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(10) : 328173 -328173 . DOI: 10.7527/S1000-6893.2023.28173
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