Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network

Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network

Neural networks, especially the latest deep learning, have exhibited good ability in estimating surface parameters from satellite remote sensing. However, thorough examinations of neural networks in the estimation of land surface temperature (LST) from satellite passive microwave (MW) observations a...

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Bibliographic Details
Main Authors: Shaofei Wang, Ji Zhou, Tianjie Lei, Hua Wu, Xiaodong Zhang, Jin Ma, Hailing Zhong
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
land surface temperature
neural network
deep belief network
convolutional neural network
passive microwave
Online Access:https://www.mdpi.com/2072-4292/12/17/2691

Internet

https://www.mdpi.com/2072-4292/12/17/2691

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