GTMNet: a vision transformer with guided transmission map for single remote sensing image dehazing

Existing dehazing algorithms are not effective for remote sensing images (RSIs) with dense haze, and dehazed results are prone to over-enhancement, color distortion, and artifacts. To tackle these problems, we propose a model GTMNet based on convolutional neural networks (CNNs) and vision transforme...

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Detalles Bibliográficos
Autores principales: Li, Haiqin, Zhang, Yaping, Liu, Jiatao, Ma, Yuanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247807/
https://www.ncbi.nlm.nih.gov/pubmed/37286555
http://dx.doi.org/10.1038/s41598-023-36149-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247807/
https://www.ncbi.nlm.nih.gov/pubmed/37286555
http://dx.doi.org/10.1038/s41598-023-36149-6

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