feature extraction

Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification

Discriminative supervised neighborhood preserving embedding feature extraction for hyperspectral-image classification

A novel discriminative supervised neighborhood preserving embedding (DSNPE) method is proposed for feature extraction in classifying hyperspectral remote sensing imagery. DSNPE can preserve the local manifold structure and the neighborhood structure. …

Feature extraction and classification for hyperspectral remote sensing images

Recent advances in sensor technology have led to an increased availability of hyperspectral remote sensing data at very high both spectral and spatial resolutions. Many techniques are developed to explore the spectral information and the spatial …