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An OpenStreetMap-Based Dataset of Building Footprints for Analysing DIfferent Types of Label Noise

Gütter, Jonas Aaron and Kruspe, Anna and Zhu, Xiao Xiang (2021) An OpenStreetMap-Based Dataset of Building Footprints for Analysing DIfferent Types of Label Noise. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE IGARSS 2021, 12.-16. Juli 2021, Brussels, Belgium.

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Abstract

We present a dataset consisting of OpenStreetMap imagery and corresponding building footprint labels. Multiple label sets are provided, each containing a different type of label noise. The purpose of the dataset is to enable a systematic analysis of different label noise types in the earth observa- tion domain and to provide a benchmark dataset for noise re- moval techniques. We also present some preliminary results from experiments on the effect of different label noise types on model performance.

Item URL in elib:https://elib.dlr.de/144179/
Document Type:Conference or Workshop Item (Speech)
Title:An OpenStreetMap-Based Dataset of Building Footprints for Analysing DIfferent Types of Label Noise
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gütter, Jonas AaronJonas.Guetter (at) dlr.deUNSPECIFIED
Kruspe, AnnaAnna.Kruspe (at) dlr.dehttps://orcid.org/0000-0002-2041-9453
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2021
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:label noise, building footprints, dataset, Deep Learning, OpenStreetMap
Event Title:IEEE IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:12.-16. Juli 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Basic research in the field of machine learning
Location: Jena
Institutes and Institutions:Institute of Data Science
Deposited By: Gütter, Jonas Aaron
Deposited On:01 Nov 2021 10:11
Last Modified:01 Nov 2021 10:11

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