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GEODE aims to improve the transparency of deep learning models used in satellite imagery analysis. By providing pixel-level explanations for model decisions, it seeks to enhance trust and usability in environmental monitoring and land-use classification.
The GEODE project brings explainability to deep learning for Earth observation. GEODE aims at improving the transparency of computer vision models used for analyzing satellite imagery in large-scale mapping projects.
As AI models are increasingly used in applications such as environmental monitoring and land-use classification, their opaque decision-making processes limit trust and usability.
Using novel XAI (eXplainable AI) techniques, GEODE will offer pixel-level explanations to understand why…
UNIVERSITAT DE VALENCIA
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