Infrared and Laser Engineering, Volume. 50, Issue 12, 20210233(2021)
Multi-view SAR target classification method based on principle of maximum entropy
Figures & Tables(10)
Fig. 1. Flowchart of multi-view SAR target classification based on maximum entropy
Fig. 4. Comparison of average classification rates under depression angle variance
Table 1. Setup of samples under SOC
View tableView in ArticleTable 1. Setup of samples under SOC
Type Training set Test set BMP2 231 193 BTR70 231 194 T72 230 194 T62 297 271 BRDM2 296 272 BTR60 254 193 ZSU23/4 297 272 D7 297 272 ZIL131 297 272 2S1 297 272
Table 2. Comparison of average classificationrates under SOC
View tableView in ArticleTable 2. Comparison of average classificationrates under SOC
Method Average classification accuracy Proposed 99.36% Multi-view 1 98.74% Multi-view 2 99.13% Multi-view 3 99.21% CNN 99.08%
Table 3. Setup of samples for configuration variance
View tableView in ArticleTable 3. Setup of samples for configuration variance
BMP2 BDRM2 BTR70 T72 Training set 231 (Sn_9563) 296 231 230 (Sn_132) Test set 424 (Sn_812) 426 (Sn_9566) 0 0 571 (Sn_A04) 427 (Sn_C21) 571 (Sn_A05) 571 (Sn_A07) 565 (Sn_A10)
Table 4. Comparison of average classification rates under configuration variance
View tableView in ArticleTable 4. Comparison of average classification rates under configuration variance
Method Average classification accuracy Proposed 98.86% Multi-view 1 96.78% Multi-view 2 97.92% Multi-view 3 98.17% CNN 96.02%
Table 5. Setup of samples under depression angle variance
View tableView in ArticleTable 5. Setup of samples under depression angle variance
Depression angle/(°) 2S1 BDRM2 ZSU23/4 Training set 17 297 296 297 Test set 30 286 285 286 45 301 301 301
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Ning Li, Junmin Wang, Wenjie Si, Zexun Geng. Multi-view SAR target classification method based on principle of maximum entropy[J]. Infrared and Laser Engineering, 2021, 50(12): 20210233
Paper Information
Category: Image processing
Received: May. 25, 2021
Accepted: --
Published Online: Feb. 9, 2022
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