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The Truth About Ground Truth: Label Noise in Human-Generated Reference Data

Hänsch, Ronny and Hellwich, Olaf (2019) The Truth About Ground Truth: Label Noise in Human-Generated Reference Data. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5594-5597. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019-07-28 - 2019-08-02, Yokohama, Japan. DOI: 10.1109/IGARSS.2019.8898003 ISBN 978-1-5386-9154-0 ISSN 2153-6996

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Abstract

Due to the increasing amount of remotely sensed data, methods for its automatic interpretation become more and more important. Corresponding supervised learning techniques, however, strongly depend on the availability of training data, i.e. data where measurements and labels are provided simultaneously. The creation of reference data for large data sets is very challenging and approaches addressing this task often introduce a significant amount of label noise. While other works focused on the influence of label noise on the training process, this paper studies the impact on the evaluation and shows that the corresponding effects are even more adverse.

Item URL in elib:https://elib.dlr.de/128256/
Document Type:Conference or Workshop Item (Speech)
Title:The Truth About Ground Truth: Label Noise in Human-Generated Reference Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hänsch, RonnyRonny.Haensch (at) dlr.dehttps://orcid.org/0000-0002-2936-6765
Hellwich, Olafolaf.hellwich (at) tu-berlin.deUNSPECIFIED
Date:14 November 2019
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
DOI :10.1109/IGARSS.2019.8898003
Page Range:pp. 5594-5597
Publisher:IEEE
Series Name:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
ISSN:2153-6996
ISBN:978-1-5386-9154-0
Status:Published
Keywords:Machine Learning, Classification, Label Noise, Evaluation
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:2019-07-28 - 2019-08-02
Organizer:IEEE GRSS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:15 Jul 2019 14:28
Last Modified:12 Jan 2020 15:16

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