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Semi-automated surface mapping via unsupervised classification

Amore, Mario and LeScaon, Rèmi and Helbert, Jörn and Maturilli, Alessandro (2017) Semi-automated surface mapping via unsupervised classification. Europlanet. European Planetary Science Congress 2017, 17–22 September 2017, Riga, Latvia.

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Official URL: http://meetingorganizer.copernicus.org/EPSC2017/EPSC2017-497.pdf


Due to the increasing volume of the returned data from space mission, the human search for correlation and identification of interesting features becomes more and more unfeasible. Statistical extraction of features via machine learning methods will increase the scientific output of remote sensing missions and aid the discovery of yet unknown feature hidden in dataset. Those methods exploit algorithm trained on features from multiple instrument, returning classification maps that explore intra-dataset correlation, allowing for the discovery of unknown features. We present two applications, one for Mercury and one for Vesta.

Item URL in elib:https://elib.dlr.de/116308/
Document Type:Conference or Workshop Item (Speech)
Title:Semi-automated surface mapping via unsupervised classification
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Amore, MarioMario.DAmore (at) dlr.dehttps://orcid.org/0000-0001-9325-6889
LeScaon, Rèmiemi.lescaon (at) gmail.comUNSPECIFIED
Helbert, JörnJoern.Helbert (at) dlr.dehttps://orcid.org/0000-0001-5346-9505
Maturilli, AlessandroAlessandro.Maturilli (at) dlr.deUNSPECIFIED
Date:September 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:spectroscopy remote-sensing machine-learning
Event Title:European Planetary Science Congress 2017
Event Location:Riga, Latvia
Event Type:international Conference
Event Dates:17–22 September 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Project BepiColombo - MERTIS and BELA
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Leitungsbereich PF
Deposited By: Amore, Dr. Mario
Deposited On:30 Nov 2017 11:14
Last Modified:31 Jul 2019 20:13

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