Plug-and-play synthetic aperture radar image formation using deep priors

MB Alver, A Saleem, M Çetin - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The reconstruction of synthetic aperture radar (SAR) images from phase history data is an ill-
posed inverse problem which, in several lines of recent work, is solved by minimizing a cost …

An object-oriented optimization framework for large-scale inverse problems

E Biondi, G Barnier, RG Clapp, F Picetti… - Computers & Geosciences, 2021 - Elsevier
We present an object-oriented optimization framework that can be employed to solve small-
and large-scale problems based on the concept of vectors and operators. By using such a …

A novel plug-and-play SAR reconstruction framework using deep priors

MB Alver, A Saleem, M Çetin - 2019 IEEE Radar Conference …, 2019 - ieeexplore.ieee.org
The reconstruction of synthetic aperture radar (SAR) images from phase history data is an ill-
posed inverse problem. Existing reconstruction methods use regularization to tackle the ill …

[PDF][PDF] RADON IMPLICIT FIELD TRANSFORM (RIFT): LEARNING SCENES FROM RADAR SIGNALS

BOG Truth, MC Reflectivity - openreview.net
Data acquisition in array signal processing (ASP) is costly because achieving high angular
and range resolutions necessitates large antenna apertures and wide frequency …

[图书][B] Theory, Methods, and Algorithms for Interferometric Inversion and Phase Retrieval with Applications in Wave-Based Imaging

B Yonel - 2020 - search.proquest.com
This thesis addresses the problems of interferometric inversion and phase retrieval with the
goal of identifying performance guarantees for deterministic imaging problems via non …