Determination of Soil Salt Content Using a Probability Neural Network Model Based on Particle Swarm Optimization in Areas Affected and Non-Affected by Human Activities

Determination of Soil Salt Content Using a Probability Neural Network Model Based on Particle Swarm Optimization in Areas Affected and Non-Affected by Human Activities

Traditional partial least squares regression (PLSR) and artificial neural networks (ANN) have been widely applied to estimate salt content from spectral reflectance in many different saline environments around the world. However, these methods entail a great amount of calculation, and their accuracy...

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Bibliographic Details
Main Authors: Chengbiao Fu, Shu Gan, Xiping Yuan, Heigang Xiong, Anhong Tian
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
probability neural network
different degree of human activities
particle swarm optimization
soil salinity
spectrum mathematical transformation
hyperspectral remote sensing
Online Access:http://www.mdpi.com/2072-4292/10/9/1387

Internet

http://www.mdpi.com/2072-4292/10/9/1387

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