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Generative Adversarial Networks for Hard Negative Mining In CNN-based SAR-Optical Image Matching

Hughes, Lloyd and Schmitt, Michael and Zhu, Xiao Xiang (2018) Generative Adversarial Networks for Hard Negative Mining In CNN-based SAR-Optical Image Matching. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2018, 22.-27. Juli 2018, Valencia, Spanien. DOI: 10.1109/IGARSS.2018.8517355

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Official URL: https://www.igarss2018.org/


Item URL in elib:https://elib.dlr.de/120098/
Document Type:Conference or Workshop Item (Speech)
Title:Generative Adversarial Networks for Hard Negative Mining In CNN-based SAR-Optical Image Matching
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:July 2018
Journal or Publication Title:2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2018.8517355
Page Range:pp. 1-4
Status:Published
Keywords:Generative Adversarial Networks, CNN, SAR, Image Matching
Event Title:IGARSS 2018
Event Location:Valencia, Spanien
Event Type:national Conference
Event Dates:22.-27. Juli 2018
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Hoffmann, Eike Jens
Deposited On:28 May 2018 13:53
Last Modified:31 Jul 2019 20:17

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