Classification of Hyperspectral Images

Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification

SVM-and MRF-Based Method for Accurate Classification of Hyperspectral Images

Extended profiles with morphological attribute filters for the analysis of hyperspectral data

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models

Generalized Composite Kernel Framework for Hyperspectral Image Classification

Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields