Bloch Sphere Representation of Polarimetric SAR Targets

This paper uses the Bloch sphere formalism to introduce a quantum-inspired representation of full polarimetric Synthetic Aperture Radar (SAR) targets. By mapping SAR target vectors to qubit states in an orthonormal trihedral-dihedral basis, we demonstrate that scattering mechanisms can be effectively modeled as quantum states. Our method constructs a real 4D Stokes-like vector from the expectation values of Pauli spin operators, providing a geometrically interpretable Bloch vector. This vector precisely locates target states on the unit sphere, enabling intuitive visualization of scattering behavior for polarimetric analysis. The proposed qubit representation enhances interpretability and paves the way for quantum-computational processing of polarimetric SAR data in remote sensing applications.

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Publication Details

Journal
IEEE Geoscience and Remote Sensing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lgrs.2025.3592360
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
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article

Bloch Sphere Representation of Polarimetric SAR Targets

Abhinav Verma, Avik Bhattacharya
IEEE Geoscience and Remote Sensing Letters
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Bloch Sphere Representation of Polarimetric SAR Targets

Abhinav Verma, Avik Bhattacharya
article en

Abstract

This paper uses the Bloch sphere formalism to introduce a quantum-inspired representation of full polarimetric Synthetic Aperture Radar (SAR) targets. By mapping SAR target vectors to qubit states in an orthonormal trihedral-dihedral basis, we demonstrate that scattering mechanisms can be effectively modeled as quantum states. Our method constructs a real 4D Stokes-like vector from the expectation values of Pauli spin operators, providing a geometrically interpretable Bloch vector. This vector precisely locates target states on the unit sphere, enabling intuitive visualization of scattering behavior for polarimetric analysis. The proposed qubit representation enhances interpretability and paves the way for quantum-computational processing of polarimetric SAR data in remote sensing applications.

IEEE Geoscience and Remote Sensing LettersVol. 22
Indian Institute of Technology Bombay (IN)
Openalex Percentile: Top 76%
Synthetic Aperture Radar (SAR) Applications and Techniques
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