Graph based fusion for change detection of the "Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops" published in MDPI.

Here you will find all the code used to generate a change map in fourteen cases of study.

gbf_cd.m is the main code that generates the changes map. cohensKappa.m will generate all the results showed in the paper and also the change map with respec to FA, MA, P, R, K, OE.

Please if you use the datasets and/or the code cite us as:

@article{   JimenezSierra2020graph,
   title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},
   author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},
   journal={Remote Sensing},
   volume={12},
   number={17},
   pages={2683},
   year={2020},
   publisher={Multidisciplinary Digital Publishing Institute}
}

For code please go to the author's github and cite.

This folder contains the rrR algorithm based on expectation maximization (EM), if you used please reference the author (bibtex is on the main code).

1. rrR_EM.m Main.

This folder contains the rR algorithm based on expectation maximization (EM), if you used please reference the author (bibtex is on the main code).

1. rR_EM.m Main code.

This folder contains the KI algorithm, if you used please reference the author (bibtex is on the main code).

1. KI_CD.m Main.

Please read the data readme file.