Learnable Empirical Mode Decomposition based on Mathematical Morphology

DOI10.1137/21M1417867OpenAlexW3175620040MaRDI QIDQ5024378

Santiago Velasco-Forero, Jesús Angulo, Unnamed Author

Publication date: 31 January 2022

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/21m1417867

zbMATH Keywords

mathematical morphologyremote sensingdeep learninghyperspectral image processing

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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