Panagiotis Agrafiotis
Panagiotis Agrafiotis
Panagiotis Agrafiotis, Begüm Demir
Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps
Panagiotis Agrafiotis, Łukasz Janowski, Dimitrios Skarlatos, Begüm Demir
MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters
Mapping the ocean
BIFOLD researcher Dr. Panagiotis Agrafiotis, Postdoc at the BIFOLD research group “Big Data Analytics for Earth Observation”, developed MagicBathyNet, a benchmark dataset accompanied by low-cost tools for frequent, consistent, and joint bathymetric and semantic mapping of these areas, using only air and/or satellite-borne images.