Two-Dimensional l1-Norm Minimization in SAR Image Reconstriction

Two-Dimensional l1-Norm Minimization in SAR Image Reconstriction

A nonconventional image algorithm, based on compressed sensing and l1-norm minimization in Synthetic Aperture Radar (SAR) application is discussed. A discrete model of the earth surface relief and mathematical modeling of SAR signal formation are analytically described. Sparse decomposition in Fouri...

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Bibliographic Details
Main Authors: Lazarov A., Minchev D.
Format: Article
Language:English
Published: Sciendo 2015-12-01
Series:Cybernetics and Information Technologies
Subjects:
sar image reconstruction
compressed sensing
2d l1-norm minimization
Online Access:https://doi.org/10.1515/cait-2015-0091

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