Spectral band selection for vegetation properties retrieval using Gaussian processes regression-Reference-Cited by-同舟云学术

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Spectral band selection for vegetation properties retrieval using Gaussian processes regression

Published:2016-10 Issue: Volume:52 Page:554-567
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Verrelst Jochem,Rivera Juan Pablo,Gitelson Anatoly,Delegido Jesus,Moreno José,Camps-Valls Gustau

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference75 articles.

1. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: from camera calibration to quality assurance;Aasen;ISPRS J. Photogram. Rem. Sens.,2015

2. Variable selection in regression – a tutorial;Andersen;J. Chemom.,2010

3. Feature selection and classification of hyperspectral images with support vector machines;Archibald;IEEE Geosci. Remote Sens. Lett.,2007

4. Kernel multivariate analysis framework for supervised subspace learning: a tutorial on linear and kernel multivariate methods;Arenas-García;IEEE Signal Process. Mag.,2013

5. Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress;Ač;Remote Sens. Environ.,2015

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