BauXAIte: An Explainable AI Framework for UAV Multisensor-Driven Bauxite Stockpile Mapping and Classification

An explainable artificial intelligence (AI) framework for bauxite stockpile classification through uncrewed aerial vehicle (UAV)-driven mapping, BauXAIte, is introduced for efficient mineral resource assessment and monitoring. A UAV, equipped with RGB and multispectral sensors, is used to capture da...

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Autores principales:	Anastasios Temenos, Nikos Temenos, Margarita Skamantzari, Anastasios Doulamis, Nikolaos Doulamis, Efthymios Daradimos, Nikolaos Christoforou
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Materias:	Bauxite deep learning (DL) explainable AI (XAI) machine learning (ML) multispectral (MS) remote sensing (RS) SHapley Additive exPlanations (SHAP)
Acceso en línea:	https://ieeexplore.ieee.org/document/11144506/
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