Application of the Deep Neural Network in Retrieving the Atmospheric Temperature and Humidity Profiles from the Microwave Humidity and Temperature Sounder Onboard the Feng-Yun-3 Satellite

The shallow neural network (SNN) is a popular algorithm in atmospheric parameters retrieval from microwave remote sensing. However, the deep neural network (DNN) has a stronger nonlinear mapping capability compared to SNN and has great potential for applications in microwave remote sensing. The Micr...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Qiurui, Wang, Zhenzhan, Li, Jiaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309479/
https://www.ncbi.nlm.nih.gov/pubmed/34300413
http://dx.doi.org/10.3390/s21144673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309479/
https://www.ncbi.nlm.nih.gov/pubmed/34300413
http://dx.doi.org/10.3390/s21144673

Ejemplares similares