Two-Step Deep Learning Approach for Estimating Vegetation Backscatter: A Case Study of Soybean Fields

Two-Step Deep Learning Approach for Estimating Vegetation Backscatter: A Case Study of Soybean Fields

Precisely predicting vegetation backscatter involves various challenges, such as complex vegetation structure, soil–vegetation interaction, and data availability. Deep learning (DL) works as a powerful tool to analyze complex data and approximate the nonlinear relationship between variables, thus ex...

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Bibliographic Details
Main Authors: Dong Zhu, Peng Zhao, Qiang Zhao, Qingliang Li, Jinpeng Zhang, Lixia Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
backscattering coefficient
radiative transfer model
soybean field
transfer learning
deep neural network
long short-term memory network
Online Access:https://www.mdpi.com/2072-4292/17/1/41
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