Plug-and-play synthetic aperture radar image formation using deep priors
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 …
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
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 …
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
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 …
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 …
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 …
goal of identifying performance guarantees for deterministic imaging problems via non …