[1] DUDGEON D E, LACOSS R T.An overview of automatic target recognition[J].The Lincoln Laboratory Journal, 1993, 6(1): 3-10.
[3] PAN Z X, LIU L, QIU X L, et al.Fast vessel detection in Gaofen-3 SAR images with ultrafine strip-map mode[J].Sensors, 2017, 17(7).doi: 10.3390/s17071578.
[4] AN Q Z, PAN Z X, YOU H J.Ship detection in Gaofen-3 SAR images based on sea clutter distribution analysis and deep convolutional neural network[J].Sensors, 2018, 18(2).doi: 10.3390/s18020334.
[8] KEYDEL E R, LEE S W, MOORE J T.MSTAR extended operating conditions: a tutorial[C]//Proceedings of SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III.Orlando, FL: SPIE, 1996: 228-242.
[9] HUANG L Q, LIU B, LI B Y, et al.OpenSARShip: a dataset dedicated to Sentinel-1 ship interpretation[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1): 195-208.
[10] HOU X Y, AO W, SONG Q, et al.FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition[J].Science China Information Sciences, 2020, 63(4): 140303-1-140303-19.
[11] ZHANG F, HU C, YIN Q, et al.Multi-aspect-aware bidirectional LSTM networks for synthetic aperture radar target recognition[J].IEEE Access, 2017, 5: 26880-26891.
[13] PEI J, HUANG Y, HUO W, et al.SAR Automatic target recognition based on multiview deep learning framework[J].IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 2196-2210.
[19] HUANG Z, PAN Z, LEI B.What, where, and how to transfer in SAR target recognition based on deep CNNs[J].IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(4): 2324-2336.
[22] PAN Z X, BAO X J, ZHANG Y T, et al.Siamese network based metric learning for SAR target classification[C]//IEEE International Geoscience and Remote Sensing Symposium.Yokohama: IEEE, 2019: 1342-1345.