Research on Bullet Recognition Technology Based on Deep Learning

Author:

Qiu Qunxian,Li Pengfei

Publisher

Springer Nature Singapore

Reference11 articles.

1. Tang, Y., Li, T., Ding, J., et al.: Research and implementation of automatic identification algorithm for missile types. J. Chin. Publ. Secur. Univ.: Nat. Sci. Edn. 1, 3 (2016). (in chinese)

2. Fan, L., Zhao, H., Zhao, H., et al.: Opt. Precis. Eng. 28(5), 1152–1164 (2020). (in chinese)

3. Weixin, H.E., Deng, J., Liu, A., et al.: Research on bomb depot target recognition method based on improved YOLOV3 algorithm. Modern Electron. Technol. 44(13), 6 (2021). (in chinese)

4. Yizhou, G.E., Liu, H., Wang, Y., et al.: Review of deep learning image recognition under small sample dilemma. J. Softw. 33(1), 18 (2022). (in chinese)

5. Huang, W.: Research on high-resolution remote sensing image recognition based on sequence relationship feature description. Natl. Univ. Def. Technol. (in chinese)

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