DML-YOLOv8-SAR image object detection algorithm
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03361-4.pdf
Reference30 articles.
1. Li, J., Xu, C., Su, H., et al.: Deep learning for SAR ship detection: Past, presentand future. Remote Sens. 14(11), 2712 (2022). https://doi.org/10.3390/rs14112712
2. Tian, L., Cao, Y., He, B., et al.: Image enhancement driven by object characteristics and dense feature reuse network for ship target detection in remote sensing imagery. Remote Sens. 13(7), 1327 (2021). https://doi.org/10.3390/rs13071327
3. Madjidi, H., Laroussi, T., Farah, F.: CFAR Ship Detection in SAR Images Based on the Generalized Rayleigh Mixture Models. In: 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE), M'sila, Algeria, pp. 1–5 (2022) https://doi.org/10.1109/ICBAIE56435.2022.9985824
4. Zhang, L., Zhang, Z., Lu, S., et al.: Fast superpixel-based non-window CFAR ship detector for SAR imagery. Remote Sens. 14(9), 2092 (2022). https://doi.org/10.3390/rs14092092
5. Ge, J., Zhang, B., Wang, C. et al.: Azimuth-Sensitive Object Detection in Sar Images Using Improved Yolo V5 Model. In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, pp. 2171–2174. (2022) https://doi.org/10.1109/IGARSS46834.2022.9883072
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