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HED-UNet: A multi-scale framework for simultaneous segmentation and edge detection

Heidler, Konrad and Mou, LiChao and Baumhoer, Celia and Dietz, Andreas and Zhu, Xiao Xiang (2021) HED-UNet: A multi-scale framework for simultaneous segmentation and edge detection. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2021, 12.-16. July 2021, Brussels, Belgium.

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Segmentation models for remote sensing imagery are usually trained on the segmentation task alone. However, for many applications, the class boundaries carry semantic value. To account for this, we propose a new approach that unites both tasks within a single deep learning model. The proposed network architecture follows the successful encoder-decoder approach, and is improved by employing deep supervision at multiple resolution levels, as well as merging these resolution levels into a final prediction using a hierarchical attention mechanism. This framework is trained to detect the coastline in Sentinel-1 images of the Antarctic coastline. Its performance is then compared to conventional single-task approaches, and shown to outperform these methods. The code is available at https://github.com/khdlr/HED-UNet

Item URL in elib:https://elib.dlr.de/143088/
Document Type:Conference or Workshop Item (Speech)
Title:HED-UNet: A multi-scale framework for simultaneous segmentation and edge detection
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
Baumhoer, CeliaCelia.Baumhoer (at) dlr.dehttps://orcid.org/0000-0003-1339-2288
Dietz, AndreasAndreas.Dietz (at) dlr.deUNSPECIFIED
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 ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Semantic segmentation, edge detection, Antarctica, glacier front
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:12.-16. July 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
German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heidler, Konrad
Deposited On:19 Jul 2021 10:31
Last Modified:20 Jul 2021 10:56

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