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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), pp. 2321-2324. IEEE IGARSS 2021, 2021-07-12 - 2021-07-16, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9553583.
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Official URL: https://ieeexplore.ieee.org/document/9553583
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/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise | ||||||||||||||||
| Authors: |
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| Date: | 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 | ||||||||||||||||
| DOI: | 10.1109/IGARSS47720.2021.9553583 | ||||||||||||||||
| Page Range: | pp. 2321-2324 | ||||||||||||||||
| 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 Start Date: | 12 July 2021 | ||||||||||||||||
| Event End Date: | 16 July 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, R - Artificial Intelligence | ||||||||||||||||
| Location: | Jena , Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | Institute of Data Science Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||
| Deposited By: | Gütter, Jonas Aaron | ||||||||||||||||
| Deposited On: | 01 Nov 2021 10:11 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:43 |
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