Publisher
Springer Nature Singapore
Reference14 articles.
1. Li, J., Xu, C., Su, H., Gao, L., Wang, T.: Deep learning for SAR ship detection: past. Present Future Remote Sens. 14(11), 2712 (2022). https://doi.org/10.3390/rs14112712
2. Pan, Y., Ye, L., Xu, Y., Liang, J.: Integrating prior knowledge into attention for ship detection in SAR images. Appl. Sci. 13(5), 2941 (2023). https://doi.org/10.3390/app13052941
3. Roy, P., Dutta, S., Dey, N., Dey, G., Chakraborty, S., Ray, R.: Adaptive thresholding: a comparative study. In: 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari District, India: IEEE, Jul. 2014, pp. 1182–1186. https://doi.org/10.1109/ICCICCT.2014.6993140
4. Zhang, T., et al.: SAR ship detection dataset (SSDD): official release and comprehensive data analysis. Remote Sens. 13(18), 3690 (2021). https://doi.org/10.3390/rs13183690
5. ‘ESRI—ArcGIS Pro Resources, 2020, Download ArcGIS Pro, https://pro.arcgis.com/en/pro-app/2.8/get-started/download-arcgis-pro.htm.Accessed 20 March 2023