Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS)

20250 citationsJournal Articlegold Open Access

Authors

Giulio Poggi · Italian Institute of Technology

Andaleeb Yaseen · Ca' Foscari University of Venice

Raveerat Jaturapitpornchai · Italian Institute of Technology

Sara Ferro · Italian Institute of Technology

Gregory Sech · Italian Institute of Technology

Peter Naylor · European Space Agency

Maria Cristina Salvi

Abstract

Deep learning methods have significantly advanced the analysis of satellite imagery, greatly enhancing the efficiency of screening extensive datasets. However, progress in the automatic identification of elements under the surface (subsoil features),

Topics & Keywords

Geochemistry and Geologic Mapping Planetary Science and Exploration Geophysical and Geoelectrical Methods

Publication Details

DOI: 10.36227/techrxiv.172833109.92524193/v4

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Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS)

Authors

Abstract

Topics & Keywords

Publication Details