Zhenzhong Zhang. Synthetic Aperture Radar Image Target Recognition Based on Updated Classifier[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410013
- Laser & Optoelectronics Progress
- Vol. 58, Issue 14, 1410013 (2021)
Fig. 1. Structure of the CNN
Fig. 2. Flow chart of the SAR image target recognition based on updated classifier
Fig. 3. Target images in the MSTAR data set. (a) BMP2; (b) BTR70; (c) T72; (d) T62; (e) BRDM2; (f) BTR60; (g) ZSU23/4; (h) D7; (i) ZIL131; (j) 2S1
Fig. 4. Classification results under standard operating conditions
Fig. 5. Classification results of different methods under noise interference
Fig. 6. Comparison of results under small traning samples
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Table 1. Test scenarios for standard operating conditions
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Table 2. Classification results of different methods under standard operating conditions unit: %
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Table 3. Classification results of our method under different decision reliability thresholds unit: %
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Table 4. Decision variable distribution of BMP2 test sample
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Table 5. Average recognition rates of different test subsets unit: %
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Table 6. Test conditions for pitch angle difference
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Table 7. Test results under different pitch angles unit: %
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