A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover

A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover

Quantitative methods for mapping sub-pixel land cover fractions are gaining increasing attention, particularly with regard to upcoming hyperspectral satellite missions. We evaluated five advanced regression algorithms combined with synthetically mixed training data for quantifying urban land cover f...

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Bibliographic Details
Main Authors: Akpona Okujeni, Sebastian van der Linden, Benjamin Jakimow, Andreas Rabe, Jochem Verrelst, Patrick Hostert
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Remote Sensing
Subjects:
machine learning
regression
sub-pixel mapping
spatial resolution
imaging spectrometry
hyperspectral
urban land cover
Online Access:http://www.mdpi.com/2072-4292/6/7/6324

Internet

http://www.mdpi.com/2072-4292/6/7/6324

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