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, 2018-07-22 - 2018-07-27, Valencia, Spanien. doi: 10.1109/IGARSS.2018.8517355.

PDF
549kB

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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Hughes, Lloyd	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Schmitt, Michael	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Zhu, Xiao Xiang	DLR-IMF/TUM-LMF	UNSPECIFIED	UNSPECIFIED

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:

In SCOPUS:

In ISI Web of Science:

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 Start Date:

22 July 2018

Event End Date:

27 July 2018

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - Remote Sensing and Geo Research

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:

24 Apr 2024 20:24

Repository Staff Only: item control page