Multistatic anisotropic travel-time as a tensor tomography problem
Naeem Desai, Oliver Graham, Sean Holman, William R.B. Lionheart

TL;DR
This paper formulates multistatic anisotropic travel-time imaging as a tensor tomography problem, relating it to Radon transforms of tensor fields, and discusses null-space implications for imaging anisotropic reflectivity.
Contribution
It introduces a tensor tomography framework for multistatic travel-time imaging, connecting it to known Radon transforms and analyzing null-space issues.
Findings
Relates travel-time imaging to tensor Radon transforms.
Identifies null-space implications for anisotropic reflectivity.
Provides a mathematical framework for anisotropic travel-time tomography.
Abstract
Travel-time imaging problems seek to reconstruct an image of reflectivity of a scene by measuring travel time (and amplitude, phase) of electromagnetic or acoustic signals, such as radar and sonar. Multistatic, in this context, means that the transmitters and receivers need not be co-located. The reflectivity is anisotropic if it depends on direction, and in the multistatic case this means incoming and outgoing direction. Travel-time problems can be formulated as generalized Radon transforms of integrals over isochrones, in the planar case ellipses with transmitter and receivers at foci. In a simplified case where transmitters and receivers are distant from the scene, isochrones can be approximated by straight lines. We relate this to tensor ray transforms, specifically the longitudinal ray transform of Sharafutdinov, and discuss the implication of its known null-space. In the…
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Taxonomy
TopicsNumerical methods in inverse problems · Microwave Imaging and Scattering Analysis · Mathematical Analysis and Transform Methods
