Infrared and Laser Engineering, Volume. 50, Issue 7, 20200337(2021)
Application of Gaussian process model in SAR image target recognition
Figures & Tables(8)
Fig. 1. Flowchart of SAR target recognition using Gaussian process model
Table 1. Description of the scenario 1
View tableView in ArticleTable 1. Description of the scenario 1
Type Training set (17°) Test set (15°) Configuration Scale Configuration Scale BMP2 9563 232 9563 194 BTR70 c71 232 c71 195 T72 132 231 132 195 812 194 s7 190 T62 A51 298 A51 272 BRDM2 E-71 297 E-71 273 BTR60 7532 255 7532 194 ZSU23/4 d08 298 d08 273 D7 13015 298 13015 273 ZIL131 E12 298 E12 273 2S1 B01 298 B01 273
Table 2. Comparison of resutls under scenario 1
View tableView in ArticleTable 2. Comparison of resutls under scenario 1
Method Average recognition rate Proposed 99.28% NMF 98.04% Mono 98.56% BEMD 98.82% CNN 99.08%
Table 3. Desciption of scenario 2
View tableView in ArticleTable 3. Desciption of scenario 2
Depression/(°) 2S1 BDRM2 ZSU23/4 Training set 17 299 298 299 Test set 30 288 287 288 45 303 303 303
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Shanshan Shang, Zikai Yu, Tao Fan, Limin Jin. Application of Gaussian process model in SAR image target recognition[J]. Infrared and Laser Engineering, 2021, 50(7): 20200337
Paper Information
Category: Lasers & Laser optics
Received: Mar. 10, 2021
Accepted: --
Published Online: Aug. 23, 2021
The Author Email: Fan Tao (lotus_summer117@163.com)
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