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Seeing the bigger picture: Enabling large context windows in neural networks by combining multiple zoom levels

Heidler, Konrad and Mou, LiChao and Zhu, Xiao Xiang (2021) Seeing the bigger picture: Enabling large context windows in neural networks by combining multiple zoom levels. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2021, 12.-16. Jul. 2021, Brussels, Belgium.

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Abstract

When adopting deep learning methods for remote sensing applications, the data usually needs to be cut into patches due to hardware limitations. Clearly, this practice discards a lot of contextual information as the model's information is limited to imagery from the given patch. We propose a memory-efficient way around this limitation by using multiple patches of varying spatial extents on different resolution levels. Finally, this new approach is evaluated for the task of automated sea ice charting, where the added contextual information is shown to be beneficial to model performance.

Item URL in elib:https://elib.dlr.de/143090/
Document Type:Conference or Workshop Item (Speech)
Title:Seeing the bigger picture: Enabling large context windows in neural networks by combining multiple zoom levels
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Heidler, KonradKonrad.Heidler (at) dlr.dehttps://orcid.org/0000-0001-8226-0727
Mou, LiChaoLiChao.Mou (at) dlr.dehttps://orcid.org/0000-0001-8407-6413
Zhu, Xiao Xiangxiaoxiang.zhu (at) dlr.dehttps://orcid.org/0000-0001-5530-3613
Date:July 2021
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:Image segmentation, Multiresolution, Synthetic aperture radar, Sea ice
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:12.-16. Jul. 2021
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: Heidler, Konrad
Deposited On:19 Jul 2021 10:33
Last Modified:20 Jul 2021 11:03

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