Polarimetric 3D SAR imaging and analysis of polarization signatures for enhanced subsurface detection

Samuel Forster; Anthony Peyton; Frank Podd

doi:10.1117/12.3030937

15 November 2024 Polarimetric 3D SAR imaging and analysis of polarization signatures for enhanced subsurface detection

Samuel Forster, Anthony Peyton, Frank Podd

Author Affiliations +

Proceedings Volume 13203, Sensors and Communication Technologies in the 1 GHz to 10 THz Band; 1320303 (2024) https://doi.org/10.1117/12.3030937
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Abstract

The detection of buried objects with GPR poses a significant challenge in many sectors, including utilities, non-destructive testing, archaeology, military operations and humanitarian efforts. It is a difficult task partly due to the presence of clutter and the strong signal attenuation presented by many soil types. This paper seeks to improve the detection of buried objects using the combination of Synthetic Aperture Radar (SAR) and Polarimetry (PolSAR). In this study a Stepped Frequency Continuous Wave (SFCW) air-coupled radar is used to acquire polarimetric measurements of buried metallic and dielectric objects between the frequency range of 1 - 6.5 GHz. A 3D Synthetic Aperture Radar (SAR) algorithm is developed and following a polarimetric calibration procedure the SAR algorithm is used to create sub-surface images of each polarization channel. Using polarimetric decompositions, the dominant scattering mechanisms are identified and are used to synthesize polarization signatures of the buried objects. Analysis is conducted to determine the optimal polarization state for sub-surface detection, enhancing target identification and discrimination capabilities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Samuel Forster, Anthony Peyton, and Frank Podd "Polarimetric 3D SAR imaging and analysis of polarization signatures for enhanced subsurface detection", Proc. SPIE 13203, Sensors and Communication Technologies in the 1 GHz to 10 THz Band, 1320303 (15 November 2024); https://doi.org/10.1117/12.3030937

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