Shuming XIAO, Ye ZHANG, Xuling CHANG, Jianbo SUN. Ship detection oriented to compressive sensing measurements of space optical remote sensing scenes[J]. Optics and Precision Engineering, 2023, 31(4): 517
- Optics and Precision Engineering
- Vol. 31, Issue 4, 517 (2023)
Fig. 1. Illustration of the pipeline of the CS-based SORS imaging system to perform ship detection tasks， where digital mirror device （DMD） denotes a measurement matrix in the CS-based imaging system
Fig. 2. Illustration of the overall framework of CS-IM-YOLO， including three parts： CML， IDBN and FPN
Fig. 3. Illustration of compression sampling process
Fig. 4. Illustration of improved Darknet53 backbone network
Fig. 5. Illustration of SENet
Fig. 6. Illustration of FPN
Fig. 7. Illustration of joint optimization process of CS-IM-YOLO
Fig. 8. Part of HRSC2016 dataset
Fig. 9. F 1 and PR curves of CS-IM-YOLO for CS measurements with MRs=25%
Fig. 10. Ship detection results or CS measurements in some scenes of the test set
Fig. 11. F 1 and PR curves of CS-IM-YOLO for measurements when MRs=25% and 10%
Fig. 12. F 1 and PR curves of “Darknet53+FPN” and “IDBN+FPN” for measurements when MRs=25%
Fig. 13. Degradation processing results of scene A in the test set
Fig. 14. Degradation processing results of scene B in the test set
Fig. 15. Reduced resolution processing results of scene A in the test set
Fig. 16. Reduced resolution processing results of scene B in the test set
|
Table 1. Relationship between stride and MRs
|
Table 2. Dataset partitioning
|
Table 3. Experimental environment
|
Table 4. Training parameters
|
Table 5. Ship detection results on measurements in HRSC2016 dataset
|
Table 6. Ship detection results of CS-IM-YOLO under different MRs
|
Table 7. Ship detection results on CS measurements of SORS scenes at MRs=25%
|
Table 8. Ship detection results on CS measurements of degraded SORS scenes at MRs=25%
|
Table 9. Ship detection results on CS measurements of reduced resolution SORS scenes at MRs=25%
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