Reducing Moisture Effects on Soil Organic Carbon Content Estimation in Vis-NIR Spectra With a Deep Learning Algorithm
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10157982.pdf?arnumber=10157982
Reference52 articles.
1. Orthogonal signal correction of near-infrared spectra
2. Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations
3. Does the limited use of orthogonal signal correction pre-treatment approach to improve the prediction accuracy of soil organic carbon need attention?
4. Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy
5. Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic
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