Long-term Subtle Volcano Deformation Detection Using Generative Adversarial Networks

Beker, Teo and Song, Qian and Zhu, Xiao Xiang (2023) Long-term Subtle Volcano Deformation Detection Using Generative Adversarial Networks. In: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR” – FRINGE 2023. ESA Fringe 2023, 10-15 Sep 2023, Leeds, UK.

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Item URL in elib:

https://elib.dlr.de/195828/

Document Type:

Conference or Workshop Item (Poster)

Title:

Long-term Subtle Volcano Deformation Detection Using Generative Adversarial Networks

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Beker, Teo	UNSPECIFIED	https://orcid.org/0000-0003-1907-4045	UNSPECIFIED
Song, Qian	UNSPECIFIED	https://orcid.org/0000-0003-2746-6858	UNSPECIFIED
Zhu, Xiao Xiang	UNSPECIFIED	https://orcid.org/0000-0001-5530-3613	UNSPECIFIED

Date:

March 2023

Journal or Publication Title:

Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR” – FRINGE 2023

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Accepted

Keywords:

GANs, Volcano Detection, Synthetic data

Event Title:

ESA Fringe 2023

Event Location:

Leeds, UK

Event Type:

international Conference

Event Dates:

10-15 Sep 2023

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 - Artificial Intelligence

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > EO Data Science

Deposited By:

Beker, Teo

Deposited On:

07 Jul 2023 10:08

Last Modified:

11 Jul 2023 16:30

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