Statistical characterization of scattering delay in synthetic aperture radar imaging

DOI10.3934/IPI.2020024OpenAlexW3013815835MaRDI QIDQ2188150

Mikhail Gilman, Semyon V. Tsynkov

Publication date: 4 June 2020

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.08124

zbMATH Keywords

Monte-Carlo methodconfidence levelSAR imagingscattering delay

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (2)

On an artificial neural network for inverse scattering problems ⋮ Deep learning approach to the detection of scattering delay in radar images

Uses Software

• DLMF
• ElemStatLearn
• ImageNet
• AlexNet
• PRMLT

Cites Work

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• Transionospheric synthetic aperture imaging
• Spectral estimation of non-stationary white noise
• Fundamentals of Radar Imaging
• Detection of delayed target response in SAR
• A multiscale approach to a synthetic aperture radar in dispersive random media

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