README

This is a toolbox for hyperspectral images, which is written by MATLAB(.m).

Algorithms

Band Selection

• ECA - Exemplar Component Analysis: A Fast Band Selection Method for Hyperspectral Imagery
• EFDPC - A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection
• FVGBS - Fast Volume Gradient Based Band Selection: A Fast Volume Gradient Based Band Selection Method for Hyperspectral_Image.
• MNBS - A New Band Selection Method for Hyperspectral Image Based on Data Quality
• OPBS - A Geometry-Based Band Selection Approach for Hyperspectral Image Analysis

Clustering

• CCA - Clustering of Continuous Attributes
• FSFDP - Clustering by Fast Search and Find of Density Peaks
• MeanShift - Mean Shift Clustering
• SC - Spectral Clustering
• SNMF - Symmetric Non-negative Matrix Factorization for Graph Clustering

Data Analysis

• FastICA - Fast Independent Component Analysis
• LLE - Locally Linear Embedding
• LS - Linear Least Squares Regression
• MNF - Minimum Noise Fraction
• NNLS - Nonnegative Least Squares
• PCA - Principal Component Analysis
• PSA - Principal Skewness Analysis
• TLS - Total Least Squares

Endmember Extraction

• MVCNMF - Minimum Volume Constrained Nonnegative Matrix Factorization
• NFINDR - N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data

Image Registration

• ANCPS - A New Translation Matching Method Based on Autocorrelated Normalized Cross-Power Spectrum
• CSM - Cyclic Shift Matrix - A New Tool for the Translation Matching Problem
• HOGE - A Subspace Identification Extension to the Phase Correlation Method
• IDFT_US - Efficient subpixel image registration algorithms
• SVD_RANSAC - A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus

Target Detection

• CEM - Constrianed Energy Minimization
• MF - Matched Filter
• MTCEM - Multiple Targets Constrained Energy Minimization
• MTICEM - Multiple Targets Inequality Constrained Energy Minimization
• SACE - Simplex ACE: a constrained subspace detector
• SAM - Spectral Angle Mapper

Examples

Component Analysis Example

三幅混合在一起的图像

PCA

FastICA

PSA

NPSA

Image Registration Example

Anti-noise performance of image registration algorithms

Target Detection Example

Single target detection results of CEM, MF and SAM

Contributors

Made with contrib.rocks.