CODES

home/Knowledge Base/CODES/

Classification of Hyperspectral Images

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

Classification of Remote Sensing Data

Data fusion: hyperspectral + Lidar

Matlab Codes for Fusion of Hyperspectral and LiDAR data

Data fusion: Hyperspectral + Multispectral

Hyperspectral and Multispectral Data Fusion

Denoising

Noise Reduction in Hyperspectral Imagery: Overview and Application

Hyperspectral remote sensing

Noise Reduction in Hyperspectral Imagery: Overview and Application

Hyperspectral Super Resolution

Machine Learning in Remote Sensing

Pansharpening

Registration

The Coregistration Swiss Army Knife: GeFolki

Spectral Unmixing