References
Han J Y. The recognition and extraction of surface to air missile position targets. Dissertation for Master Degree. Jilin: Jilin University, 2016
Arel I, Rose D C, Karnowski T P. Deep machine learning — a new frontier in artificial intelligence research. IEEE Comput Intell Mag, 2010, 5: 13–18
Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2014. 580–587
Redmon J, Farhadi A. Yolov3: an incremental improvement. 2018. ArXiv:1804.02767
Ren S Q, He K M, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of the 28th International Conference on Neural Information Processing Systems, 2015. 91–99
Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. 2014. ArXiv:1409.1556
He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. 770–778
Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant Nos. 61603210, 61673240).
Author information
Authors and Affiliations
Corresponding author
Supporting information
Rights and permissions
About this article
Cite this article
Liu, F., Zhu, J., Wang, W. et al. Surface-to-air missile sites detection agent with remote sensing images. Sci. China Inf. Sci. 64, 194201 (2021). https://doi.org/10.1007/s11432-019-9920-2
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-019-9920-2