ConvFormer-Lite: A Lightweight CNN–Transformer Hybrid for Haze/Nonhaze Classification on a Pan-Asian Sentinel-2 True Color Haze Benchmark Dataset

Earth observation plays a crucial role in environmental monitoring, disaster damage assessment, and sustainable resource management, among other applications. These tasks may be affected by atmospheric haze, which reduces the contrast in Sentinel-2 multispectral imagery (MSI) as well as other satell...

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Principais autores:	Balla Pavan Kumar, Aravinth J, Sankaran Rajendran, Arvind Mukundan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Atmospheric haze convolutional neural networks deep learning haze classification image classification multispectral imagery
Acesso em linha:	https://ieeexplore.ieee.org/document/11489512/
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