Polarimetry for sparse multistatic 3D SAR

Date published

2025-01-01

Free to read from

2025-04-14

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Institution of Engineering and Technology (IET)

Department

Type

Article

ISSN

1751-8784

Format

Citation

Welsh R, Andre D, Finnis M. (2025) Polarimetry for sparse multistatic 3D SAR. IET Radar, Sonar & Navigation, Volume 19, January/December 2025, Article number e70020

Abstract

There is significant interest in multistatic SAR image formation, due to the increased development of satellite constellations and UAV swarms for remote sensing applications. The exploitation of the finer resolution and wider coverage of these geometries has been shown to reduce the often‐impractical data collection requirements of 3D SAR imagery; this offers advantages such as improved target identification and the removal of layover artefacts. This paper presents a novel polarimetric generalisation of the SSARVI algorithm, which was previously developed to exploit sparse aperture multistatic collections for 3D SAR image formation. The new algorithm presented here, named the PolSSARVI algorithm, combines polarimetrically weighted interferograms for determining the 3D scatterer locations from sparse aperture polarimetric collections. The bistatic generalised Huynen fork polarimetric parameters are then determined for the multistatic PolSSARVI 3D SAR renderings. This new approach was tested on both simulated and experimental data. Experimental imagery was formed using measurements from the Cranfield GBSAR laboratory.

Description

Radar trajectory coordinates will be made available on the CORD repository. Synthetic aperture radar data are the subject of ongoing research but may be made available on request to the corresponding author or the Cranfield GBSAR group.

Software Description

Software Language

Github

Keywords

Networking & Telecommunications, 4006 Communications engineering

DOI

Rights

Attribution 4.0 International

Relationships

Relationships

Resources

Funder/s

This study was funded by Dstl.