A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images
Abstract Coregistration is among the most important and challenging tasks when dealing with multiple synthetic aperture radar (SAR) images, especially when they are acquired at different time instants and characterised by low signal to noise power ratio (SNR) that contributes to their coherence redu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12493 |
| _version_ | 1797338862368849920 |
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| author | Laura Parra Garcia Luca Pallotta Carmine Clemente Gaetano Giunta John J. Soraghan |
| author_facet | Laura Parra Garcia Luca Pallotta Carmine Clemente Gaetano Giunta John J. Soraghan |
| author_sort | Laura Parra Garcia |
| collection | DOAJ |
| description | Abstract Coregistration is among the most important and challenging tasks when dealing with multiple synthetic aperture radar (SAR) images, especially when they are acquired at different time instants and characterised by low signal to noise power ratio (SNR) that contributes to their coherence reduction. However, even if some technological expedients could be implemented to maintain the same trajectory and to compensate for these inaccuracies during the acquisition campaign, multitemporal SAR images always need additional registration refinements after compression. Usually, to coregister a series of multitemporal SAR images, one of them is selected as the master, and the remainders are separately registered to it. Differently, in this study, a new strategy is developed to jointly coregister a stack of multitemporal SAR images. It is based on the exploitation of the cross‐correlations in turn computed from each couple of cross‐correlations (a.k.a. cross‐cross‐correlations) of the extracted patches. By doing so, the method is capable of exploiting also the respective misregistration information between the slaves during the estimation process. In this respect, this methodology is applied to enhance the registration capabilities of the constrained Least Squares (CLS) optimisation method, which instead does not account for the reciprocal information related to the slaves. Several tests are performed on multitemporal airborne‐measured SAR data. Obtained results show the effectiveness of the proposed algorithm in terms of achieved root mean square error for images affected by respective rotations also in comparison with the CLS counterpart. |
| first_indexed | 2024-03-08T09:37:44Z |
| format | Article |
| id | doaj.art-54f8fa3236384d59bb22ef06eec83984 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-03-08T09:37:44Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-54f8fa3236384d59bb22ef06eec839842024-01-30T07:26:11ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922024-01-0118119820910.1049/rsn2.12493A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar imagesLaura Parra Garcia0Luca Pallotta1Carmine Clemente2Gaetano Giunta3John J. Soraghan4Department of Electronic and Electrical Engineering University of Strathclyde Glasgow ScotlandSchool of Engineering University of Basilicata Potenza ItalyDepartment of Electronic and Electrical Engineering University of Strathclyde Glasgow ScotlandDepartment of Industrial, Electronic and Mechanical Engineering University of Roma Tre Rome ItalyDepartment of Electronic and Electrical Engineering University of Strathclyde Glasgow ScotlandAbstract Coregistration is among the most important and challenging tasks when dealing with multiple synthetic aperture radar (SAR) images, especially when they are acquired at different time instants and characterised by low signal to noise power ratio (SNR) that contributes to their coherence reduction. However, even if some technological expedients could be implemented to maintain the same trajectory and to compensate for these inaccuracies during the acquisition campaign, multitemporal SAR images always need additional registration refinements after compression. Usually, to coregister a series of multitemporal SAR images, one of them is selected as the master, and the remainders are separately registered to it. Differently, in this study, a new strategy is developed to jointly coregister a stack of multitemporal SAR images. It is based on the exploitation of the cross‐correlations in turn computed from each couple of cross‐correlations (a.k.a. cross‐cross‐correlations) of the extracted patches. By doing so, the method is capable of exploiting also the respective misregistration information between the slaves during the estimation process. In this respect, this methodology is applied to enhance the registration capabilities of the constrained Least Squares (CLS) optimisation method, which instead does not account for the reciprocal information related to the slaves. Several tests are performed on multitemporal airborne‐measured SAR data. Obtained results show the effectiveness of the proposed algorithm in terms of achieved root mean square error for images affected by respective rotations also in comparison with the CLS counterpart.https://doi.org/10.1049/rsn2.12493correlation methodsimage registrationleast mean squares methodssynthetic aperture radar |
| spellingShingle | Laura Parra Garcia Luca Pallotta Carmine Clemente Gaetano Giunta John J. Soraghan A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images IET Radar, Sonar & Navigation correlation methods image registration least mean squares methods synthetic aperture radar |
| title | A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| title_full | A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| title_fullStr | A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| title_full_unstemmed | A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| title_short | A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| title_sort | cross cross correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images |
| topic | correlation methods image registration least mean squares methods synthetic aperture radar |
| url | https://doi.org/10.1049/rsn2.12493 |
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