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Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

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UBGewali/SpectralCov-GP-MTGP

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Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

This repository contains MATLAB code for vegetation paramter estimation from hyperspectral data using single/multi-task Gaussian process with covariance functions based on well-established spectral comparison metrics.

Run demo code

GP with spectral covariance functions

>> test_GP

Multitask GP with spectral covariance functions

>> test_MTGP

Citation

Please consider citing the following article if you use the code in this repository:

U. B. Gewali, S. T. Monteiro and E. Saber, "Gaussian processes for vegetation parameter estimation with limited ground truth," Remote Sensing, 2019. [article][bibtex]

Contact

Utsav Gewali (ubg9540@rit.edu)

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Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

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