Snow Parameters Inversion from Passive Microwave Remote Sensing Measurements by Deep Convolutional Neural Networks

This paper proposes a novel inverse method based on the deep convolutional neural network (ConvNet) to extract snow’s layer thickness and temperature via passive microwave remote sensing (PMRS). The proposed ConvNet is trained using simulated data obtained through conventional computational electrom...

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Detalles Bibliográficos
Autores principales: Yao, Heming, Zhang, Yanming, Jiang, Lijun, Ewe, Hong Tat, Ng, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268846/
https://www.ncbi.nlm.nih.gov/pubmed/35808266
http://dx.doi.org/10.3390/s22134769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268846/
https://www.ncbi.nlm.nih.gov/pubmed/35808266
http://dx.doi.org/10.3390/s22134769

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