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| Citation: | Zhou Zibo, Jiang Libing, Wang Zhuang. Image Registration Based on Wave Path Difference Compensation for InISAR[J]. Journal of Radars, 2018, 7(6): 758-769. doi: 10.12000/JR18070
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Image Registration Based on Wave Path Difference Compensation for InISAR
doi: 10.12000/JR18070
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Abstract
In Interferometric Inverse Synthetic Aperture Radar (InISAR) three-Dimensional (3D) imaging, Inverse Synthetic Aperture Radar (ISAR) image registration is a key process. It arranges similar scatterers in different ISAR images on the same pixel cell, which completes the interferometric processing for similar scatterers to obtain their 3D coordinates. This paper analyses the ISAR image mismatch caused by the difference of the wave path between the scatterer and different radars and then proposes a new ISAR image registration method that consists of three steps, based on wave path difference compensation. First, chirp Fourier transform is used to estimate the rotational angular velocity of the target. Second, the compensation phase is constructed according to the rotational angular velocity to eliminate the wave path difference between scatterer and different radars. Finally, two-Dimensional (2D) Fourier transform can yield ISAR images without mismatch. The proposed method can directly achieve ISAR image registration in an echo field. After image registration based on this method, the scatterers match-up well. But after image registration based on the correlation method, the scatterers have a mismatch of about one pixel cell. Compared to the correlation method, this method can achieve image registration more efficiently. Finally, the 3D imaging error (0.3034) based on this method is smaller than that (45.8529) of the correlation method. -
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References
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- Figure 1. Configuration of L-shape three-antenna InISAR imaging system
- Figure 2. Projection of motion model in XOY plane
- Figure 3. Turntable model of ISAR imaging
- Figure 4. The selection of strong scattering range cell block
- Figure 5. Flowchart of the rotational angular velocity estimation algorithm
- Figure 6. Estimation results of the Doppler chirp rate
- Figure 7. Estimation of w for different SNR
- Figure 8. Range profiles without mismatch
- Figure 9. The comparison of range profiles of the 50th pulse
- Figure 10. ISAR images without image registration
- Figure 11. ISAR images after image registration based on the proposed method
- Figure 12. InISAR imaging result through the proposed method
- Figure 13. Distribution of correlation coefficients during registration
- Figure 14. ISAR image after registration based on correlation coefficient
- Figure 15. InISAR imaging result through the method based on correlation efficient
- Figure 16. Picture of TianGong
- Figure 17. Scatter point model of TianGong
- Figure 18. The imaging result of TianGong model