Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

The machine learning method, random forest (RF), is applied in order to derive biophysical and structural vegetation parameters from hyperspectral signatures. Hyperspectral data are, among other things, characterized by their high dimensionality and autocorrelation. Common multivariate regression ap...

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Bibliographic Details
Main Authors: Daniel Doktor, Angela Lausch, Daniel Spengler, Martin Thurner
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Remote Sensing
Subjects:
hyperspectral data
vegetation status
random forest
PROSAIL
crop
Online Access:http://www.mdpi.com/2072-4292/6/12/12247

Internet

http://www.mdpi.com/2072-4292/6/12/12247

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