Artefact analysis of multistatic three-dimensional SAR imaging with two linear arrays
| dc.contributor.author | Andre, Daniel | |
| dc.contributor.author | Krishnan, Venkateswaran P. | |
| dc.contributor.author | Nolan, Clifford | |
| dc.date.accessioned | 2026-05-08T11:12:41Z | |
| dc.date.available | 2026-05-08T11:12:41Z | |
| dc.date.freetoread | 2026-05-08 | |
| dc.date.issued | 2026-06 | |
| dc.date.pubOnline | 2026-05-04 | |
| dc.description.abstract | In recent years, radar technology has seen much improvement, making multistatic Synthetic Aperture Radar (SAR) sensing a realistic possibility, for example in satellite constellations or unmanned aircraft systems. With such systems, there then comes the requirement to investigate useful multistatic SAR geometries. We provide a microlocal analysis of a multistatic data acquisition geometry for three-dimensional SAR imaging, where the transmitters and receivers effectively constitute two linear arrays, which survey a region of interest (ROI). Using microlocal techniques, we show how the data acquisition geometry influences whether artefacts are likely to be present in the resultant image and how they can be avoided. Our main contribution is to provide a time-gating condition on the data which ensures that artefacts are not present in the ROI. As an independent verification, we provide several numerical simulations which follow a time-independent formulation. | |
| dc.description.journalName | Journal of Mathematical Imaging and Vision | |
| dc.description.sponsorship | This work was supported by EPSRC grant EP/R014604/1. VPK acknowledges the support of the Department of Atomic Energy, Government of India, under Project No. 12-R&D-TFR−5.01-0520. | |
| dc.identifier.citation | Andre D, Krishnan VP, Nolan C. (2026) Artefact analysis of multistatic three-dimensional SAR imaging with two linear arrays. Journal of Mathematical Imaging and Vision, Volume 68, Issue 3, June 2026, Article number 16 | en_UK |
| dc.identifier.eissn | 1573-7683 | |
| dc.identifier.elementsID | 870449 | |
| dc.identifier.issn | 0924-9907 | |
| dc.identifier.issueNo | 3 | |
| dc.identifier.paperNo | 16 | |
| dc.identifier.uri | https://doi.org/10.1007/s10851-026-01293-x | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/25230 | |
| dc.identifier.volumeNo | 68 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | Springer | en_UK |
| dc.publisher.uri | https://link.springer.com/article/10.1007/s10851-026-01293-x | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial Intelligence & Image Processing | en_UK |
| dc.subject | 4603 Computer vision and multimedia computation | en_UK |
| dc.subject | 4606 Distributed computing and systems software | en_UK |
| dc.subject | 4901 Applied mathematics | en_UK |
| dc.subject | SAR | en_UK |
| dc.subject | Bistatic | en_UK |
| dc.subject | Multistatic | en_UK |
| dc.subject | Artefact | en_UK |
| dc.subject | Singularity | en_UK |
| dc.subject | Microlocal analysis | en_UK |
| dc.title | Artefact analysis of multistatic three-dimensional SAR imaging with two linear arrays | en_UK |
| dc.type | Article | |
| dcterms.dateAccepted | 2026-03-31 |
