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Journals >
Infrared and Laser Engineering >
Volume 51 >
Issue 5 >
Page 20210372 > Article
Infrared and Laser Engineering
Vol. 51, Issue 5, 20210372 (2022)
Infrared image target recognition method based on selected deep features
Shasha Liao
Author Affiliations
College of Information Engineering, Chaohu University, Hefei 238000, China
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DOI:
10.3788/IRLA20210372
Cite this Article
Shasha Liao. Infrared image target recognition method based on selected deep features[J]. Infrared and Laser Engineering, 2022, 51(5): 20210372
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Fig. 1.
Architecture of ResNet
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Fig. 2.
Procedure of infrared imagery target recognition based on selected deep features
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Fig. 3.
Comparison of reuslts from different methods on the simulated noisy test samples
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Fig. 4.
Comparison of reuslts from different methods on the simulated occluded test samples
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Method
Average recognition rate
Proposed
98.4%
SVM
94.5%
SRC
95.1%
CNN
96.6%
JSR-Deep
97.8%
Table 1.
Comparison of reuslts from different methods on the orginal test samples
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Abstract
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Figures&Tables (5)
Equations (4)
References (19)
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Shasha Liao. Infrared image target recognition method based on selected deep features[J]. Infrared and Laser Engineering, 2022, 51(5): 20210372
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Paper Information
Category: Infrared technology and application
Received: Dec. 1, 2021
Accepted: --
Published Online: May. 25, 2022
The Author Email:
DOI:
10.3788/IRLA20210372
Recommended Topics
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