Skip to content

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

Notifications You must be signed in to change notification settings

UBGewali/SpectralCov-GP-MTGP

Repository files navigation

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)

About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages