Zhai, Y.; Deng, W.; Lan, T.; Sun, B.; Ying, Z.; Gan, J.; Mai, C.; Li, J.; Labati, R.D.; Piuri, V.;
et al. MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR. Remote Sens. 2020, 12, 1385.
https://doi.org/10.3390/rs12091385
AMA Style
Zhai Y, Deng W, Lan T, Sun B, Ying Z, Gan J, Mai C, Li J, Labati RD, Piuri V,
et al. MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR. Remote Sensing. 2020; 12(9):1385.
https://doi.org/10.3390/rs12091385
Chicago/Turabian Style
Zhai, Yikui, Wenbo Deng, Tian Lan, Bing Sun, Zilu Ying, Junying Gan, Chaoyun Mai, Jingwen Li, Ruggero Donida Labati, Vincenzo Piuri,
and et al. 2020. "MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR" Remote Sensing 12, no. 9: 1385.
https://doi.org/10.3390/rs12091385
APA Style
Zhai, Y., Deng, W., Lan, T., Sun, B., Ying, Z., Gan, J., Mai, C., Li, J., Labati, R. D., Piuri, V., & Scotti, F.
(2020). MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR. Remote Sensing, 12(9), 1385.
https://doi.org/10.3390/rs12091385
