This git contains a mutual guide implementation scheme for hyperspectral image classification with small data by exploiting extreme learning machines (ELMs) as base classifiers.
Run main.m matlab
We have uploaded three public hyperspectral image datasets, i.e., Indian Pines, Kennedy Space Center , Pavia University, and Salinas and their corresponding ground truth into the datasets folder.
#Parameters
In order to better exhibit the classification performance of our mutual guide method, we have uploaded the different parameters of ELM on the three datasets into the parameters folder. Of course, you can make appropriate changes.
*The ELM package is utilized as the classifier in this repo. *The SuperPCA package is utilized for the feature extraction in this repo.