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2022•IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing SymposiumRequires access

Simulation and Analysis of 3-D Polarimetric Interferometric ISAR Imaging

James Park, Raghu G. Raj, Marco Martorella, Elisa Giusti

Open publisher page 2 citations

Abstract

This paper introduces a polarimetric three-dimensional (3-D) interferometric inverse synthetic aperture radar (ISAR) imaging process using multiple phase-centers. This approach takes effective advantage of polarimetric scattering mechanisms in 3-D target representations, which may improve target classification and identification. A Pauli decomposition scheme is considered to study the role of polarimetry in 3-D Interferometric ISAR (InISAR). The polarimetric 3-D InISAR imaging process is validated using the backhoe synthetic data released by the Air Force Research Laboratory (AFRL).

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What this paper is about

This paper introduces a polarimetric three-dimensional (3-D) interferometric inverse synthetic aperture radar (ISAR) imaging process using multiple phase-centers. This approach takes effective advantage of polarimetric scattering mechanisms in 3-D target representations, which may improve target classification and identification. A Pauli decomposition scheme is considered to study the role of polarimetry in 3-D Interferometric ISAR (InISAR). The polarimetric 3-D InISAR imaging process is validated using the backhoe synthetic data released by the Air Force Research Laboratory (AFRL).

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Available abstract

This paper introduces a polarimetric three-dimensional (3-D) interferometric inverse synthetic aperture radar (ISAR) imaging process using multiple phase-centers. This approach takes effective advantage of polarimetric scattering mechanisms in 3-D target representations, which may improve target classification and identification. A Pauli decomposition scheme is considered to study the role of polarimetry in 3-D Interferometric ISAR (InISAR). The polarimetric 3-D InISAR imaging process is validated using the backhoe synthetic data released by the Air Force Research Laboratory (AFRL).

Key concepts: Inverse synthetic aperture radar, Polarimetry, Interferometry, Remote sensing, Radar imaging, Synthetic aperture radar, Computer science, Side looking airborne radar

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