hyperspectral remote sensing

Hyperspectral unmixing by reweighted low rank and total variation

Semisupervised local discriminant analysis for feature extraction in hyperspectral images

We propose a novel semisupervised local discriminant analysis method for feature extraction in hyperspectral remote sensing imagery, with improved performance in both ill-posed and poor-posed conditions. The proposed method combines unsupervised …

Feature extraction for hyperspectral images based on semi-supervised local linear discriminant analysis

We propose a novel semi-supervised local discriminant analysis (SELD) method for feature extraction in hyperspectral remote sensing imagery. The proposed method combines a supervised method (Linear Discriminant Analysis (LDA)) and an unsupervised …