A New Methodology of Soil Salinization Degree Classification by Probability Neural Network Model Based on Centroid of Fractional Lorenz Chaos Self-Synchronization Error Dynamics

Anhong Tian
Anhong Tian
Chengbiao Fu
Chengbiao Fu
Xiao-Yi Su
Xiao-Yi Su
Heigang Xiong
Heigang Xiong

IEEE Transactions on Geoscience and Remote Sensing, pp. 799-810, 2020.

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Abstract:

In this article, a new methodology for the centroid variation of chaos self-synchronization error dynamics was used to determine soil salinization degree based on probability neural network (PNN). This was done to overcome the difficulties involved in the handling of a large amount of spectroscopy data, as well as many spectral bands and ...More

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