Non-overlapping trajectory multistatic SAR coherent change detection
Non-overlapping trajectory multistatic SAR coherent change detection
- Author(s): A. Hagelberg 1 ; D. Andre 1 ; M. Finnis 2
- DOI: 10.1049/icp.2023.1255
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- Author(s): A. Hagelberg 1 ; D. Andre 1 ; M. Finnis 2
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View affiliations
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Affiliations:
1:
Centre for Electronic Warfare, Information and Cyber, Cranfield University, Defence Academy of the United Kingdom , Shrivenham , UK ;
2: Centre for Defence Engineering, Cranfield University, Defence Academy of the United Kingdom , Shrivenham , UK
Source:
International Conference on Radar Systems (RADAR 2022),
2022
p.
587 – 592
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Affiliations:
1:
Centre for Electronic Warfare, Information and Cyber, Cranfield University, Defence Academy of the United Kingdom , Shrivenham , UK ;
- Conference: International Conference on Radar Systems (RADAR 2022)
- DOI: 10.1049/icp.2023.1255
- ISBN: 978-1-83953-777-6
- Location: Hybrid Conference, Edinburgh, UK
- Conference date: 24-27 October 2022
- Format: PDF
Synthetic Aperture Radar (SAR) Coherent Change Detection (CCD) allows the detection of very small scene changes but is typically reliant on a high degree of similarity in the radar trajectories, with a small baseline. In the case of multistatic SAR imagery, such as those formed by a constellation of SAR satellites, the radar trajectories may have a greater baseline than those collected by a monostatic system such as an aircraft. This paper investigates the effects of multistatic trajectories on the measured coherence between imagery, and how this relates to the spatial frequency (K-space). In particular, the case where radar platform trajectories are greatly dissimilar, but where the K-space image supports still contains a high degree of overlap, is investigated. This paper uses multistatic SAR collections measured at the Ground Based SAR Laboratory at Cranfield University.
Inspec keywords: remote sensing by radar; satellite communication; synthetic aperture radar; natural scenes; radar imaging; artificial satellites
Subjects: Radar equipment, systems and applications; Radar theory; Computer vision and image processing techniques; Optical, image and video signal processing; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Satellite communication systems; Geophysical techniques and equipment