LiteDenseMoE: An Explainable Lightweight Densely Connected Mixture-of-Experts Network for Aerial Scene Recognition in Low Contrast Remote Sensing Images

Land remote sensing (RS) image classification is crucial for understanding ongoing geographical and environmental changes. It aids in land use and land cover classification, crop and vegetation classification, change detection, and classification of coastal and aerial regions. Many advanced techniqu...

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Principais autores:	Muhammad John Abbas, Muhammad Attique Khan, Ameer Hamza, Shrooq Alsenan, Areej Alasiry, Mehrez Marzougui, Jungpil Shin, Yunyoung Nam
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Aerial scene deep learning hyperparameter tuning mixture of experts (MoEs) model interpretations remote sensing (RS)
Acesso em linha:	https://ieeexplore.ieee.org/document/11301592/
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