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Automatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning : A data-driven interpretation approach

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dc.contributor.authorGiannakis, Iraklis
dc.contributor.authorMcdonald, Ciaran
dc.contributor.authorFeng, Jianqing
dc.contributor.authorZhou, Feng
dc.contributor.authorSu, Yan
dc.contributor.authorMartin-Torres, Javier
dc.contributor.authorZorzano Mier, Maria-Paz
dc.contributor.authorWarren, Craig
dc.contributor.authorGiannopoulos, Antonios
dc.contributor.authorLeontidis, Georgios
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Planetary Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.contributor.institutionUniversity of Aberdeen.Data and Artificial Intelligenceen
dc.date.accessioned2025-04-01T11:09:00Z
dc.date.available2025-04-01T11:09:00Z
dc.date.issued2024-07-15
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent3007119
dc.identifier289289084
dc.identifier0086c6f9-e53c-4017-8f9b-d635c1febbdc
dc.identifier85192697852
dc.identifier.citationGiannakis, I, Mcdonald, C, Feng, J, Zhou, F, Su, Y, Martin-Torres, J, Zorzano Mier, M-P, Warren, C, Giannopoulos, A & Leontidis, G 2024, 'Automatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning : A data-driven interpretation approach', Icarus, vol. 417, 116108. https://doi.org/10.1016/j.icarus.2024.116108en
dc.identifier.doi10.1016/j.icarus.2024.116108
dc.identifier.issn0019-1035
dc.identifier.otherORCID: /0000-0002-7672-8992/work/159507973
dc.identifier.otherORCID: /0000-0001-6479-2236/work/159508102
dc.identifier.otherORCID: /0000-0001-6671-5568/work/159509466
dc.identifier.urihttps://hdl.handle.net/2164/25242
dc.identifier.vol417en
dc.language.isoeng
dc.relation.ispartofIcarusen
dc.subjectSegmentationen
dc.subjectChang’E-4en
dc.subjectYutu-2en
dc.subjectGround Penetrating Radaren
dc.subjectGPRen
dc.subjectVon Kármán crateren
dc.subjectSignal processingen
dc.subjectMachine learningen
dc.subjectUnsupervised machine learningen
dc.subjectClusteringen
dc.subjectQE Geologyen
dc.subjectQB Astronomyen
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subject.lccQEen
dc.subject.lccQBen
dc.titleAutomatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning : A data-driven interpretation approachen
dc.typeJournal articleen

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