Multispectral Lightweight Ship Target Detection Algorithm for Sentinel-2 Satellite

Li CHEN; Shi-yong WANG; Si-li GAO; Chang TAN; Lin-han LI

doi:10.3964/j.issn.1000-0593(2022)09-2862-08

[1] P Gao, J Li, J Tian et al. Ship Detection and Fine-Grained Recognition in Large-Format Remote Sensing Images Based on Convolutional Neural Network. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2859(2020).

[2] Z Li, F Liu, Y You. IEEE Access, 8, 194485(2020).

[3] J Liu, Y Zhang, P Wang et al. Journal of Marine Science and Engineering, 9, 932(2021).

[4] U Kanjir. Acta Astronautica, 155, 45(2019).

[5] B Li, X Wei X, Y Xie X. Remote Sensing, 12, 792(2020).

[9] H Wu Z, S Shi Z, B Gong W. International Journal of Remote Sensing, 42, 2622(2021).

[10] X Shi W, X Deng D, Q Chen L. Remote Sensing, 13, 660(2021).

[11] D Liu G, L Jin. Symmetry, 13, 495(2021).

[12] X Zhang, K He, S Ren et al. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

[13] M Zhu, M Sandler, A Howard et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE(2018).

[14] X Zhang, T Zheng H, N Ma et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. European Conference on Computer Vision(2018).