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Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks

Hughes, Lloyd and Schmitt, Michael and Zhu, Xiao Xiang (2018) Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks. Remote Sensing, 10 (10), pp. 1-17. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10101552 ISSN 2072-4292

Full text not available from this repository.

Official URL: https://www.mdpi.com/2072-4292/10/10/1552


Item URL in elib:https://elib.dlr.de/122445/
Document Type:Article
Title:Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hughes, Lloydlloyd.hughes (at) tum.deUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.3390/rs10101552
Page Range:pp. 1-17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:GAN, image matching, hard negative samples
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: Häberle, Matthias
Deposited On:23 Oct 2018 14:04
Last Modified:14 Dec 2019 04:26

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