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Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X

Ao, Dongyang and Dumitru, Corneliu Octavian and Schwarz, Gottfried and Datcu, Mihai (2018) Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X. Remote Sensing, 10 (10), pp. 1-24. Multidisciplinary Digital Publishing Institute (MDPI). DOI: doi.org/10.3390/rs10101597 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/10/10/1597


Contrary to optical images, Synthetic Aperture Radar (SAR) images are in different electromagnetic spectrum where the human visual system is not accustomed to. Thus, with more and more SAR applications, the demand for enhanced high-quality SAR images has increased considerably. However, high-quality SAR images entail high costs due to the limitations of current SAR devices and their image processing resources. To improve the quality of SAR images and to reduce the costs of their generation, we propose a Dialectical Generative Adversarial Network (Dialectical GAN) to generate high-quality SAR images. This method is based on the analysis of hierarchical SAR information and the “dialectical” structure of GAN frameworks. As a demonstration, a typical example will be shown where a low-resolution SAR image (e.g., a Sentinel-1 image) with large ground coverage is translated into a high-resolution SAR image (e.g., a TerraSAR-X image). Three traditional algorithms are compared, and a new algorithm is proposed based on a network framework by combining conditional WGAN-GP (Wasserstein Generative Adversarial Network - Gradient Penalty) loss functions and Spatial Gram matrices under the rule of dialectics. Experimental results show that the SAR image translation works very well when we compare the results of our proposed method with the selected traditional methods.

Item URL in elib:https://elib.dlr.de/123117/
Document Type:Article
Title:Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ao, Dongyangdongyang.ao (at) dlr.deUNSPECIFIED
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:8 October 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :doi.org/10.3390/rs10101597
Page Range:pp. 1-24
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:dialectical generative adversarial network; image translation; Sentinel-1; TerraSAR-X
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:19 Nov 2018 13:10
Last Modified:14 Dec 2019 04:26

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