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| Citation: | DENG Shasa, ZHANG Fan, YIN Qiang, et al. Refined ship feature characterization method of full-polarimetric synthetic aperture radar for visual interpretation[J]. Journal of Radars, 2024, 13(2): 374–395. doi: 10.12000/JR23078
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Refined Ship Feature Characterization Method of Full-polarimetric Synthetic Aperture Radar for Visual Interpretation
doi: 10.12000/JR23078
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Abstract
With advances in satellite technology, Polarimetric Synthetic Aperture Radar (PolSAR) now have higher resolution and better data quality, providing excellent data conditions for the refined visual interpretation of artificial targets. The primary method currently used is a multicomponent decomposition, but this method can result in pixel misdivision problems. Thus, we propose a non-fixed threshold division method for achieving advanced feature ship structure characterization in full-polarimetric SAR images. Yamaguchi decomposition can effectively identify the primary scattering mechanism and characterize artificial targets. Its modified volume scattering model is more consistent with actual data. The polarization entropy can serve as the target scattering mechanism at a specified equivalent point in the weakly depolarized state, which can effectively highlight the ship structure. This paper combines the three components of the Yamaguchi decomposition algorithm with the entropy, and divides it into a nine-classification plane with a non-fixed threshold. This method reduces category randomness generated by noise at the threshold boundary for complicated threshold treatments. Furthermore, the Mixed Scattering Mechanism (MSM) which is the region where both secondary scattering and single scattering are significant, was proposed to better match the scattering types of typical structures of vessels in the experiment. The Generalized Similarity Parameter (GSP) was used to further shorten the intra-class distance and perform iterative clustering using a modified GSP-Wishart classifier. This method improves the vessel distinguishability by enhancing the secondary and mixed scattering mechanisms. Finally, this paper uses full-polarimetric SAR data from a port in Shanghai, China, for the experiment. We collected and filtered ship information and optical data from this port through the Automatic Identification System (AIS) and matched them with the ships in full-polarimetric SAR images to verify the correct characterization of each vessel’s features. The experimental results show that the proposed method can effectively distinguish three types of vessels: bulk carriers, container ships and tankers. -
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References
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- Figure 1. Optical images of bulk carriers, container ships and oil tankers
- Figure 2. Scattering mechanism of the vessels
- Figure 3. Flow chart of the proposed method
- Figure 4. Flow chart of the non-fixed threshold division method
- Figure 5. Initial classification plot of the non-fixed threshold division method
- Figure 6. Pauli pseudo-color image of the FP-SAR over Shanghai, China
- Figure 7. Results of the proposed method for bulk carriers
- Figure 8. Results of the proposed method for container ships
- Figure 9. Results of the proposed method for oil tankers
- Figure 10. Results of the four images for bulk carriers
- Figure 11. The scattering feature ratio corresponding to these four methods for bulk carriers
- Figure 12. Results of the four images for container ships
- Figure 13. The scattering feature ratio corresponding to these four methods for container ships
- Figure 14. Results of the four images for oil tankers
- Figure 15. The scattering feature ratio corresponding to these four methods for oil tankers
- Figure 16. Yamaguchi/H validation of validity
- Figure 17. GSP-Wishart validation of validity
- Figure 18. Comparison results between the multi-component decomposition methods and the proposed method of bulk carriers
- Figure 19. Comparison results between the multi-component decomposition methods and the proposed method of container ships
- Figure 20. Comparison results between the multi-component decomposition methods and the proposed method of oil tankers
- Figure 21. The average number of pixels for each type of scattering mechanism for the three types of ships as processed method