Entropy-Centric Explainable AI for Remote Sensing Image Segmentation

Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decision-making process of its models, mainly due to deep neural networks outperforming their peers at the cost of ambiguity in feature extraction and prediction. Consequently, in critical domains such as remote sensing, where high-resolution imagery must be analyzed using black-box models, the lack of transparency limits trust in these models and, thus,

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ethics.ai (11 August 2026), “Entropy-Centric Explainable AI for Remote Sensing Image Segmentation,” evidence record 18654, https://ethics.ai/record/18654 (originally published by arXiv cs.AI).

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