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Found 4 papers, 2 papers with code
An Interpretable Deep Semantic Segmentation Method for Earth Observation
Earth observation is fundamental for a range of human activities including flood response as it offers vital information to decision makers.
On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios.
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model
Cloud removal is a relevant topic in Remote Sensing as it fosters the usability of high-resolution optical images for Earth monitoring and study.
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification
Data fusion is a well-known technique, becoming more and more popular in the Artificial Intelligence for Earth Observation (AI4EO) domain mainly due to its ability of reinforcing AI4EO applications by combining multiple data sources and thus bringing better results.
