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

Giannakis, IraklisMcdonald, CiaranFeng, JianqingZhou, FengSu, YanMartin-Torres, JavierZorzano Mier, Maria-PazWarren, CraigGiannopoulos, AntoniosLeontidis, Georgios2025-04-012025-04-012024-07-15Giannakis, 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.2024.1161080019-1035ORCID: /0000-0002-7672-8992/work/159507973ORCID: /0000-0001-6479-2236/work/159508102ORCID: /0000-0001-6671-5568/work/159509466https://hdl.handle.net/2164/25242113007119engSegmentationChang’E-4Yutu-2Ground Penetrating RadarGPRVon Kármán craterSignal processingMachine learningUnsupervised machine learningClusteringQE GeologyQB AstronomySupplementary DataDASQEQBAutomatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning : A data-driven interpretation approachJournal article10.1016/j.icarus.2024.116108417