Synthetic Aperture Imaging and Motion Estimation Using Tensor Methods

DOI10.1137/19M1306440zbMath1451.35242arXiv2001.04381OpenAlexW3111490116MaRDI QIDQ5143334

Matan Leibovich, Chrysoula Tsogka, George S. Papanicolaou

Publication date: 11 January 2021

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.04381

zbMATH Keywords

SAR imagingtensor nuclear normtensor PCA

Mathematics Subject Classification ID

PDEs in connection with optics and electromagnetic theory (35Q60) Biomedical imaging and signal processing (92C55) Basic methods for problems in optics and electromagnetic theory (78M99) PDEs in connection with information and communication (35Q94)

Related Items (1)

Unsupervised segmentation of PolSAR data with complex Wishart and \(\mathcal{G}^0_m\) distributions and Shannon entropy

Cites Work

• Unnamed Item
• Tensor Decompositions and Applications
• Factorization strategies for third-order tensors
• Bounds on the Spectral Norm and the Nuclear Norm of a Tensor Based on Tensor Partitions
• Synthetic Aperture Radar Imaging and Motion Estimation via Robust Principal Component Analysis
• Robust principal component analysis?
• A Multilinear Singular Value Decomposition
• Nuclear norm of higher-order tensors
• Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
• Most Tensor Problems Are NP-Hard
• Motion estimation and imaging of complex scenes with synthetic aperture radar
• Third-order tensors as linear operators on a space of matrices

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