Search Results for author:
Found 3 papers, 0 papers with code
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities
Deep learning has taken by storm all fields involved in data analysis, including remote sensing for Earth observation.
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
We hope to contribute to an understanding that the nature of our data is what distinguishes the Earth observation community from many other communities that apply deep learning techniques to image data, and that a detailed understanding of EO data peculiarities is among the core competencies of our discipline.
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
Learning the manifold structure of remote sensing images is of paramount relevance for modeling and understanding processes, as well as to encapsulate the high dimensionality in a reduced set of informative features for subsequent classification, regression, or unmixing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
