Hagelberg, AlexanderAndre, DanielFinnis, Mark2023-04-262023-04-262022-04-21Hagelberg A, Andre D, Finnis M. (2022) Non-overlapping trajectory Multistatic SAR Coherent Change Detection. In: IET Radar 2022: International Conference on Radar Systems, 24-27 October 2022, Edinburgh, Scotlandhttps://doi.org/10.1049/icp.2023.1255https://ieeexplore.ieee.org/document/10106299https://dspace.lib.cranfield.ac.uk/handle/1826/19552Synthetic 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.enAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/synthetic aperture radar (SAR)K-spacefourier domaincoherent change detection (CCD)multistaticConference paper