UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES
Feature HIMALAYAN SALT FINE extraction plays a key role in hyperspectral images classification.Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better performance when limited number of training samples exists.This paper illustrates the importance of selecting appropriate unlabele