Infrared and Laser Engineering, Volume. 51, Issue 4, 20220167(2022)
Highly dynamic aerial polymorphic target detection method based on deep spatial-temporal feature fusion (Invited)
Figures & Tables(8)
Fig. 6. Comparison of target recognition results of UAV in three consecutive frames
Fig. 7. Comparison of UAV target recognition results by traditional methods
Table 1. Comparison of detection performance of different algorithms on self-built dataset
View tableView in ArticleTable 1. Comparison of detection performance of different algorithms on self-built dataset
Method Accuracy Speed/FPS Run memory/GB C3 D[ 17 ]82.31% 25.9 2.32 TSN[ 18 ]85.73% 23.3 3.58 ECO[ 19 ]86.57% 27.6 3.14 3DLocalCNN[ 20 ]85.78% 21.6 2.79 TADa[ 21 ]87.41% 29.1 4.01 Proposed method 89.87% 27.0 2.19
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Peng Sun, Yue Yu, Jiaxin Chen, Hanlin Qin. Highly dynamic aerial polymorphic target detection method based on deep spatial-temporal feature fusion (Invited)[J]. Infrared and Laser Engineering, 2022, 51(4): 20220167
Paper Information
Category: Special issue—Infrared detection and recognition technology under superspeed flow field
Received: Mar. 10, 2022
Accepted: --
Published Online: May. 18, 2022
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