Infrared and Laser Engineering, Volume. 51, Issue 8, 20210725(2022)
Infrared image target recognition method based on decision fusion of classifiers
Figures & Tables(5)
Fig. 1. Procedure of infrared image target recognition based on decision fusion of classifiers
Fig. 2. Illustration of infrared images of targets used in the experiments
Fig. 3. Average recognition rates of different methods on the noisy samples
Table 1. Recognition results of the proposed method on the original sample
View tableView in ArticleTable 1. Recognition results of the proposed method on the original sample
Original samples Recognition Tar1 Tar2 Tar3 Tar4 Tar5 Tar1 48 1 1 0 0 Tar2 0 50 0 0 0 Tar3 0 1 48 0 1 Tar4 1 0 0 49 0 Tar5 0 0 1 0 49
Table 2. Average recognition rates of different methods on the occluded samples
View tableView in ArticleTable 2. Average recognition rates of different methods on the occluded samples
Method Occlusion level 5% 10% 15% 20% 25% Proposed 95.4 89.7 80.3 72.4 61.8 SRC 94.2 86.9 79.1 68.2 58.6 CNN 93.6 85.8 77.8 66.8 57.2 JSRDeep 94.4 87.9 79.2 70.3 60.2 Texture 93.5 86.4 78.1 67.2 58.1
Tools
Get Citation
Copy Citation Text
Huichuan Liao, Haixia Zhao. Infrared image target recognition method based on decision fusion of classifiers[J]. Infrared and Laser Engineering, 2022, 51(8): 20210725
Paper Information
Category: Infrared technology and application
Received: Nov. 5, 2021
Accepted: --
Published Online: Jan. 9, 2023
The Author Email: Zhao Haixia (zhaohaixia_1@126.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20