Datasets
ABU Datasets
Provided by Prof. Xudong Kang. Mainly used for hyperspectral anomaly detection research.
Salinas Datasets
Provided by Mr. Donglei Ma and Dr. Zengfu Hou. For hyperspectral anomaly detection. If you use this dataset, please cite the related papers.
HyMap Target/Anomaly Detection Blind Test
A standard hyperspectral dataset providing data and evaluation services for target finding algorithms, available for free after registration.
Hyperspectral Change Detection Datasets
Multiple hyperspectral change detection datasets available for download via Baidu Netdisk.
Open-Source Codes
Morphological Profiles
Max-Tree & Min-Tree Morphological Feature Extraction
C++ implementation for morphological feature extraction using max-tree/min-tree, provided by Prof. Lu Li and modified by Dr. Zengfu Hou. Related paper: Hyperspectral Change Detection Based on Multiple Morphological Profiles (IEEE TGRS, 2021).
Hyperspectral Anomaly Detection
LSADCRIDW / LSUNRSORAD
MATLAB codes for hyperspectral anomaly detection. Related paper: Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation (Remote Sensing, 2019).
SLW_LRRSTO / MLW_LRRSTO
MATLAB codes for hyperspectral anomaly detection based on low-rank representation with spatial constraint. Related paper (Remote Sensing, 2019).
2S-GLRT
MATLAB codes for multipixel anomaly detection with unknown pattern. Related paper: IEEE TNNLS, 2022.
CRDBPSW
MATLAB codes for collaborative representation with background purification and saliency weight. Related paper: Science China Information Sciences, 2022.
Hyperspectral Change Detection
MaxTreeCD / MinTreeCD / SALA
MATLAB and C++ codes for hyperspectral change detection based on morphological profiles. Related paper: IEEE TGRS, 2021.
TDRD
MATLAB codes for three-order Tucker decomposition and reconstruction detector for unsupervised change detection. Related paper: IEEE JSTARS, 2021.
Hyperspectral Object Tracking
TSCFW
MATLAB codes for spatial-spectral weighted and regularized tensor sparse correlation filter tracker. Related paper: IEEE TGRS, 2022.
If any links are not available, please contact me by email.