Detection and classfication of subsurface objects by polarimetric radar imaging

Christian N. Koyama, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The paper addresses the problem of subsurface object detection by polarimetric synthetic aperture radar (PolSAR) imaging. We are developing methods to detect persons and objects buried below-ground from low-frequency ground-based (GB), airborne and spaceborne SAR. An L-band GB-SAR system for fast aerial imaging is under development. Airborne and spaceborne radar imaging data was acquired by the Japanese Pi-SAR-L2 and ALOS-2 (both operated by JAXA), respectively. Both systems operate in the L-band with a center frequency of 1.25 GHz and provide quad-pol data with 3 m resolution. Reflector targets were buried at various depth at a sand beach to investigate the penetration capabilities. Preliminary results indicate that for soils with low permittivity the L-band SAR can detect such targets up to a depth of 20 cm. In addition we present results obtained with a novel polarimetric ultra-wideband (UWB) GB-SAR system developed by our group. This system for polarimetric near-range subsurface imaging of building structures uses a circular polarization spiral antenna array operating in the 5-15 GHz band. By 2 dimensional scanning, 3D subsurface images with super high resolution of 1 cm can be acquired. Based on experimental results from UWB GB-SAR measurements, we discuss the potential to classify subsurface objects by detailed analysis of their scattering behavior. A simple preliminary classification approach based on measured polarimetric signatures is proposed. The results demonstrate the unique potential of high-resolution polarimetric radar imaging to locate and classify subsurface objects by using the information about their scattering mechanisms.

Original languageEnglish
Title of host publication2015 IEEE Radar Conference - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages440-445
Number of pages6
ISBN (Electronic)9781467396554
DOIs
Publication statusPublished - 2015 Jan 1
EventIEEE Radar Conference - Johannesburg, South Africa
Duration: 2015 Oct 272015 Oct 30

Publication series

Name2015 IEEE Radar Conference - Proceedings

Other

OtherIEEE Radar Conference
CountrySouth Africa
CityJohannesburg
Period15/10/2715/10/30

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation

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    Koyama, C. N., & Sato, M. (2015). Detection and classfication of subsurface objects by polarimetric radar imaging. In 2015 IEEE Radar Conference - Proceedings (pp. 440-445). [7411924] (2015 IEEE Radar Conference - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RadarConf.2015.7411924