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Researchers introduce ADAGE framework to evaluate alignment between deep learning model explanations and established remote sensing knowledge in satellite-based flood mapping.

arXiv cs.CV · 2026年4月30日

AI要約

  • A study presents the ADAGE (Alignment between Domain Knowledge And GeoAI Explanation Evaluation) framework, which uses Channel-Group SHAP (a method for estimating feature contributions) to assess how well deep learning model explanations align with domain knowledge in remote sensing for flood mapping tasks.
  • The framework enables quantitative measurement of alignment between model explanations and reference explanations derived from domain knowledge, and helps domain experts identify misaligned explanations through alignment scores.
  • The research addresses the challenge that deep learning models used in satellite-based flood monitoring have opaque decision-making processes, which has been a barrier to their integration into critical scientific and operational workflows.

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