Infrared and Laser Engineering, Volume. 50, Issue 5, 20200309(2021)
Application of complex bidimensional empirical mode decomposition in SAR target recognition
Figures & Tables(11)
Fig. 2. SAR target recognition method based on feature extraction by C-BEMD
Fig. 4. Recognition results of each class by the proposed method under SOC
Table 1. Description of SOC
View tableView in ArticleTable 1. Description of SOC
Class Training set （17°） Test sample set （15°） Configuration (SN) Scale of samples Configuration (SN) Scale of samples BMP2 9563 233 9563 195 BTR70 — 233 — 196 T72 132 232 132 196 812 195 S7 191 T62 — 299 — 273 BRDM2 — 298 — 274 BTR60 — 256 — 195 ZSU23/4 — 299 — 274 D7 — 299 — 274 ZIL131 — 299 — 274 2S1 — 299 — 274
Table 2. Description of configruation variance
View tableView in ArticleTable 2. Description of configruation variance
Class Training set （17°） Test sample set （15°） Configuration (SN) Scale of samples Configuration (SN) Scale of samples BMP2 9563 233 9566 196 C21 196 BTR70 — 233 — 196 T72 132 232 812 195 S7 191
Table 3. Description of pitch angle variance
View tableView in ArticleTable 3. Description of pitch angle variance
Class Training set Test sample set Pitch angle/(°) Scale of samples Pitch angle/(°) Scale of samples 2S1 17 299 30 288 45 303 BDRM2 17 298 30 287 45 303 ZSU23/4 17 299 30 288 45 303
Table 4. Results under SOC
View tableView in ArticleTable 4. Results under SOC
Method type Average recognition rate Proposed method 99.34% NMF 98.26% Mono 98.74% BEMD 99.04% CNN 99.08%
Table 5. Results under configuration variance
View tableView in ArticleTable 5. Results under configuration variance
Method type Average recognition rate Proposed method 99.12% NMF 97.26% Mono 96.36% BEMD 98.27% CNN 98.68%
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Zhichao Liu, Baida Qu. Application of complex bidimensional empirical mode decomposition in SAR target recognition[J]. Infrared and Laser Engineering, 2021, 50(5): 20200309
Paper Information
Category: Image processing
Received: Dec. 2, 2020
Accepted: --
Published Online: Aug. 13, 2021
The Author Email: Qu Baida (qbd518@aliyun.com)
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