arXiv Artificial Intelligence

Entropy-Centric Explainable AI for Remote Sensing Image Segmentation

1 day ago 12.08.2026 07:00 👁 3 views
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation

Quick summary

arXiv:2608.11064v1 Announce Type: cross Abstract: 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, their adoption. In light of this reality, explaini

Key takeaways

  • arXiv:2608.11064v1 Announce Type: cross Abstract: 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, their adoption.

Why it matters

“Entropy-Centric Explainable AI for Remote Sensing Image Segmentation” is a product decision that may change how people work with AI. Its value depends on task completion, correction effort and data handling—not simply the presence of a new feature.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗