Zhijing Xu, Hai Huang. Ship Detection in SAR Image Based on Multiple Connected Features Pyramid Network[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0811002
- Laser & Optoelectronics Progress
- Vol. 58, Issue 8, 0811002 (2021)
Fig. 1. Model structure diagram
Fig. 2. Structure of feature extraction network I-VGGNet
Fig. 3. Structure of different detection networks. (a) YOLO; (b) SSD; (c) FPN; (d) MCFPN
Fig. 4. Detailed structure of multiple connected feature pyramid network
Fig. 5. Pictures of some scenes in the dataset
Fig. 6. Variation curve of loss function
Fig. 7. Comparison of the P-R curve of proposed method and SSD algorithm
Fig. 8. Comparison of experimental results between the proposed method and SSD algorithm. (a) Blurred background; (b) near shore and port area; (c) small ships near shore; (d) small ships on the sea
|
Table 1. Experimental results of different parameters for focal loss
|
Table 2. Results of ablation experiments
|
Table 3. Performance comparison with other methods on SAR ship dataset
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20