ISAR Image Matching and Three-Dimensional Scattering Imaging Based on Extracted Dominant Scatterers
This paper studies inverse synthetic aperture radar (ISAR) image matching and three-dimensional (3D) scattering imaging based on extracted dominant scatterers. In the condition of a long baseline between two radars, it is easy for obvious rotation, scale, distortion, and shift to occur between two-d...
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| Veröffentlicht in: | Remote sensing (Basel, Switzerland) Jg. 12; H. 17; S. 2699 |
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| Abstract | This paper studies inverse synthetic aperture radar (ISAR) image matching and three-dimensional (3D) scattering imaging based on extracted dominant scatterers. In the condition of a long baseline between two radars, it is easy for obvious rotation, scale, distortion, and shift to occur between two-dimensional (2D) radar images. These problems lead to the difficulty of radar-image matching, which cannot be resolved by motion compensation and cross-correlation. What is more, due to the anisotropy, existing image-matching algorithms, such as scale invariant feature transform (SIFT), do not adapt to ISAR images very well. In addition, the angle between the target rotation axis and the radar line of sight (LOS) cannot be neglected. If so, the calibration result will be smaller than the real projection size. Furthermore, this angle cannot be estimated by monostatic radar. Therefore, instead of matching image by image, this paper proposes a novel ISAR imaging matching and 3D imaging based on extracted scatterers to deal with these issues. First, taking advantage of ISAR image sparsity, radar images are converted into scattering point sets. Then, a coarse scatterer matching based on the random sampling consistency algorithm (RANSAC) is performed. The scatterer height and accurate affine transformation parameters are estimated iteratively. Based on matched scatterers, information such as the angle and 3D image can be obtained. Finally, experiments based on the electromagnetic simulation software CADFEKO have been conducted to demonstrate the effectiveness of the proposed algorithm. |
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| AbstractList | This paper studies inverse synthetic aperture radar (ISAR) image matching and three-dimensional (3D) scattering imaging based on extracted dominant scatterers. In the condition of a long baseline between two radars, it is easy for obvious rotation, scale, distortion, and shift to occur between two-dimensional (2D) radar images. These problems lead to the difficulty of radar-image matching, which cannot be resolved by motion compensation and cross-correlation. What is more, due to the anisotropy, existing image-matching algorithms, such as scale invariant feature transform (SIFT), do not adapt to ISAR images very well. In addition, the angle between the target rotation axis and the radar line of sight (LOS) cannot be neglected. If so, the calibration result will be smaller than the real projection size. Furthermore, this angle cannot be estimated by monostatic radar. Therefore, instead of matching image by image, this paper proposes a novel ISAR imaging matching and 3D imaging based on extracted scatterers to deal with these issues. First, taking advantage of ISAR image sparsity, radar images are converted into scattering point sets. Then, a coarse scatterer matching based on the random sampling consistency algorithm (RANSAC) is performed. The scatterer height and accurate affine transformation parameters are estimated iteratively. Based on matched scatterers, information such as the angle and 3D image can be obtained. Finally, experiments based on the electromagnetic simulation software CADFEKO have been conducted to demonstrate the effectiveness of the proposed algorithm. |
| Author | Pascazio, Vito Sun, Guang-Cai Bie, Bowen Xing, Mengdao Xu, Dan |
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| Cites_doi | 10.1109/TIP.2016.2526905 10.1109/TAES.1980.308873 10.1109/IGARSS.2016.7729264 10.1109/83.931103 10.1109/JSEN.2019.2898231 10.1109/TGRS.2010.2102767 10.1109/TIP.2009.2039623 10.1117/12.488289 10.1109/TGRS.2019.2943613 10.1109/LGRS.2016.2600858 10.1109/TGRS.2003.809934 10.1109/IGARSS.2016.7730304 10.1109/83.908519 10.1109/TCI.2017.2750330 10.1109/TGRS.2019.2907561 10.1109/IGARSS.2019.8900317 10.1109/TGRS.2019.2916465 10.1007/BF00129684 10.1109/TIP.2010.2045711 10.1109/TGRS.2007.909946 10.1109/TGRS.2003.811760 10.1109/TGRS.2017.2737988 10.1109/7.937474 10.1109/TAES.2014.130210 10.1109/TIP.2016.2535362 10.1109/JSTARS.2018.2889428 10.1109/LGRS.2014.2330625 10.1109/TGRS.2019.2911952 10.1109/TGRS.2014.2346509 10.1109/LGRS.2007.903059 10.1109/34.608289 10.3390/rs11111277 10.1049/iet-rsn.2014.0275 10.1049/ip-rsn:19951791 10.1109/LGRS.2014.2320053 |
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| SubjectTerms | 3D scattering imaging affine transformation Affine transformations Algorithms Anisotropy Antennas Calibration Computer simulation Inverse synthetic aperture radar Line of sight Matching Methods Motion compensation Parameter estimation Radar Radar imaging Radar systems Random sampling RANSAC Remote sensing Rotation scatterer matching Scattering Simulation Software Statistical sampling Three dimensional imaging |
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| Title | ISAR Image Matching and Three-Dimensional Scattering Imaging Based on Extracted Dominant Scatterers |
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