期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 8, 期 4, 页码 804-808出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2011.2109934
关键词
Biophysical parameter estimation; model inversion; regression; support vector regression (SVR)
类别
资金
- Spanish Ministry of Education and Science
- Spanish Ministry for Science and Innovation [AYA2008-05965-C04-03, CSD2007-00018]
- Swiss National Science Foundation [PBLAP2-127713/1]
- European Commission [252237]
This letter proposes a multioutput support vector regression (M-SVR) method for the simultaneous estimation of different biophysical parameters from remote sensing images. General retrieval problems require multioutput (and potentially nonlinear) regression methods. M-SVR extends the single-output SVR to multiple outputs maintaining the advantages of a sparse and compact solution by using an e-insensitive cost function. The proposed M-SVR is evaluated in the estimation of chlorophyll content, leaf area index and fractional vegetation cover from a hyperspectral compact high-resolution imaging spectrometer images. The achieved improvement with respect to the single-output regression approach suggests that M-SVR can be considered a convenient alternative for nonparametric biophysical parameter estimation and model inversion.
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