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Journals >
Infrared and Laser Engineering >
Volume 51 >
Issue 3 >
Page 20210421 > Article
Infrared and Laser Engineering
Vol. 51, Issue 3, 20210421 (2022)
Decision fusion of CNN and SRC with application to SAR target recognition
Jianhua Lu
Author Affiliations
School of Physics and Electronic Engineering, Yancheng Normal University, Yancheng 224007, China
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DOI:
10.3788/IRLA20210421
Cite this Article
Jianhua Lu. Decision fusion of CNN and SRC with application to SAR target recognition[J]. Infrared and Laser Engineering, 2022, 51(3): 20210421
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Fig. 1.
Analysis of procedure of the recognition method
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Fig. 2.
Confusion matrix for recognition of 10-class targets
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Fig. 3.
Average recognition rates under experiment 4
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Layer
Convolution/Pooling kernel
Size of feature map
Input
—
88×88×1
Convolution 1
5×5×20
84×84×20
Pooling 1
2×2×20
42×42×20
Convolution 2
5×5×40
38×38×40
Pooling 2
2×2×40
19×19×40
Convolution 3
4×4×80
16×16×80
Pooling 3
2×2×80
8×8×80
Convolution 4
3×3×160
6×6×160
Pooling 4
2×2×160
3×3×160
Convolution 5
3×3×
N
1×1×
N
softmax
—
N
Table 1.
Descriptions of different layers in CNN
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Class
Training
Testing
Elevation angle/(°)
Sample amount
Elevation angle/(°)
Sample amount
BMP2
17
214
15
174
BTR70
214
175
T72
213
175
T62
278
256
BRDM2
277
257
BTR60
234
174
ZSU23/4
278
249
D7
278
249
ZIL131
278
249
2S1
278
249
Table 2.
Training and testing samples under experiment 1: Including 10-class targets
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Recognition method
Ours
SVM
SRC
CNN
Average recognition rate
99.36%
98.64%
98.23%
99.08%
Table 3.
Average recognition rates under experiment 1
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Class
Training
Testing
Elevation angle/(°)
Configuration
Sample amount
Elevation angle/(°)
Configuration
Sample amount
BMP2
17
9 563
214
15
9 566
175
c21
175
BTR70
c71
214
c71
175
T72
132
213
812
174
s7
167
Table 4.
Training and testing samples under experiment 2: Including 3-class targets
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Recognition method
Ours
SVM
SRC
CNN
Average recognition rate
95.42%
92.58%
92.14%
93.96%
Table 5.
Average recognition rates under experiment 2
View in the Article
Class
Training
Testing
Elevation angle/(°)
Sample amount
Elevation angle/(°)
Sample amount
2S1
17
277
30
267
45
285
BRDM2
276
30
266
45
285
ZSU23/4
277
30
267
45
285
Table 6.
Training and testing samples under experiment 3: Including 3-class targets
View in the Article
Recognition method
Ours
SVM
SRC
CNN
Average recognition rate
30°
97.56%
94.52%
95.87%
97.04%
45°
71.64%
66.64%
65.42%
67.56%
Table 7.
Average recognition rates under experiment 3
View in the Article
Abstract
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Figures&Tables (10)
Equations (8)
References (22)
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Jianhua Lu. Decision fusion of CNN and SRC with application to SAR target recognition[J]. Infrared and Laser Engineering, 2022, 51(3): 20210421
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Paper Information
Category: Image processing
Received: Dec. 20, 2021
Accepted: --
Published Online: Mar. 25, 2022
The Author Email:
DOI:
10.3788/IRLA20210421
Recommended Topics
laser devices and laser physics
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