SAR coregistration by robust selection of extended targets and iterative outlier cancellation
Pallotta, Luca and Giunta, Gaetano and Clemente, Carmine and Soraghan, John J. (2022) SAR coregistration by robust selection of extended targets and iterative outlier cancellation. IEEE Geoscience and Remote Sensing Letters, 19. 4501405. ISSN 1545-598X (https://doi.org/10.1109/LGRS.2021.3132661)
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Abstract
This letter extends the constrained least-squares (CLS) optimization method developed to coregister multitemporal synthetic aperture radar (SAR) images affected by a joint rotation effect and range/azimuth shifts enforcing the absence of zooming effects. To take advantage of the structural information extracted from the scene, the method starts with a detection stage that identifies extended targets/areas in the images. The selected tie-points allow the CLS problem to be reformulated to find its (initial) solution based on a robust subset of image blocks. Then, the mean square error (MSE) of each equation evaluated from the initial solution allows to implement an iterative cancellation procedure to further skim the CLS equation set. The effectiveness of the proposed procedure is validated on real SAR data in comparison with the standard CLS.
ORCID iDs
Pallotta, Luca, Giunta, Gaetano, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X and Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Article ID code: 87237 Dates: DateEvent31 December 2022Published7 December 2021Published Online2 December 2021Accepted1 June 2021SubmittedNotes: Copyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling Technologies
Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 08 Nov 2023 14:59 Last modified: 11 Nov 2024 13:23 URI: https://strathprints.strath.ac.uk/id/eprint/87237