Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar

In this paper the problem of reconstruction of damaged multi-band optical images is studied in the case where we have no information about brightness of such images in the damage region. Mostly motivated by the crop field monitoring problem, we propose a new variational approach for exact reconstruc...

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Main Authors: Peter I. Kogut, Mykola V. Uvarov
Format: Article
Language:English
Published: Oles Honchar Dnipro National University 2020-10-01
Series:Journal of Optimization, Differential Equations and Their Applications
Subjects:
Online Access:https://model-dnu.dp.ua/index.php/SM/article/view/152
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spelling doaj-86cd73464bc54ff5a975a0d933e7093d2020-12-23T15:26:56ZengOles Honchar Dnipro National UniversityJournal of Optimization, Differential Equations and Their Applications2617-01082663-68242020-10-01282477910.15421/1420O4144Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture RadarPeter I. Kogut0Mykola V. Uvarov1Department of Differential Equations, Oles Honchar Dnipro National UniversityEOS Data Analytics UkraineIn this paper the problem of reconstruction of damaged multi-band optical images is studied in the case where we have no information about brightness of such images in the damage region. Mostly motivated by the crop field monitoring problem, we propose a new variational approach for exact reconstruction of damaged multi-band images using results of their co-registration with Synthetic Aperture Radar (SAR) images of the same regions. We discuss the consistency of the proposed problem, give the scheme for its regularization, derive the corresponding optimality system, and describe in detail the algorithm for the practical implementation of the reconstruction procedure.https://model-dnu.dp.ua/index.php/SM/article/view/152image reconstruction problemsynthetic aperture radar imagetotal variationimage processingoptimality conditions
collection DOAJ
language English
format Article
sources DOAJ
author Peter I. Kogut
Mykola V. Uvarov
spellingShingle Peter I. Kogut
Mykola V. Uvarov
Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
Journal of Optimization, Differential Equations and Their Applications
image reconstruction problem
synthetic aperture radar image
total variation
image processing
optimality conditions
author_facet Peter I. Kogut
Mykola V. Uvarov
author_sort Peter I. Kogut
title Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
title_short Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
title_full Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
title_fullStr Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
title_full_unstemmed Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
title_sort variational approach for the reconstruction of damaged optical satellite images through their co-registration with synthetic aperture radar
publisher Oles Honchar Dnipro National University
series Journal of Optimization, Differential Equations and Their Applications
issn 2617-0108
2663-6824
publishDate 2020-10-01
description In this paper the problem of reconstruction of damaged multi-band optical images is studied in the case where we have no information about brightness of such images in the damage region. Mostly motivated by the crop field monitoring problem, we propose a new variational approach for exact reconstruction of damaged multi-band images using results of their co-registration with Synthetic Aperture Radar (SAR) images of the same regions. We discuss the consistency of the proposed problem, give the scheme for its regularization, derive the corresponding optimality system, and describe in detail the algorithm for the practical implementation of the reconstruction procedure.
topic image reconstruction problem
synthetic aperture radar image
total variation
image processing
optimality conditions
url https://model-dnu.dp.ua/index.php/SM/article/view/152
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AT mykolavuvarov variationalapproachforthereconstructionofdamagedopticalsatelliteimagesthroughtheircoregistrationwithsyntheticapertureradar
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