Sources

Here are some sources including hyperspectral datasets and codes, some of which are collected from the Internet. I hope these sources are helpful to your work.

---

I. Datasets

---

1. ABU datasets
• description: This dataset is provided by Prof. Xudong Kang and is mainly used for hyperspectral anomaly detection.
• website: http://xudongkang.weebly.com/data-sets.html
2. Salinas datasets
• description: This dataset is provided by Mr. Donglei Ma and Dr. Zengfu Hou, and is mainly used for hyperspectral anomaly detection. If you use this dataset, please cite the following papers.
[1] Anomaly detection in hyperspectral imagery based on low-rank representation incorporating a spatial constraint[J]. Remote Sensing, 2019, 11(13): 1578.
[2] Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation[J]. Remote Sensing, 2019, 11(11): 1318.
• website: Google drive or Baidu Netdisk, Code: g7wu
3. HyMap Target/Anomaly Detection Blind Test dataset
• description: The Target Detection Blind Test project aims to provide a standard hyperspectral dataset to the remote sensing community. Additionally, the project will score the ability of target finding algorithms used on the dataset provided. These services are provided for free — after registering, anyone can access this project's data and evaluation services.
• website: http://dirsapps.cis.rit.edu/blindtest
4. Updating...

II. Codes

---

A. Morphological Profiles

1. Morphological feature extraction program (Max-tree and Min-tree)

• description: The morphological feature extraction in max-tree/min-tree was conducted in VISUAL STUDIO 2017 using C++ language, which provied by prof. Lu Li, and modified and encapsulated by Dr. Zengfu Hou. We have released these codes. For more details, please refer to:
  [1] Hyperspectral Change Detection Based on Multiple Morphological Profiles[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, doi:10.1109/TGRS.2021.3090802.
• C++ Codes (Executable program): Download

---

B. Anomaly Detection

1. Hyperspectral Anomaly Detection: LSADCRIDW/LSUNRSORAD
• description: This is the matlab code for hyperspectral anomaly detection. For more details, please refer to the paper:
  [1] Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation, Remote Sensing, 2019, 11(11): 1318.
• Matlab Codes: Download
2. Hyperspectral Anomaly Detection: SLW_LRRSTO/MLW_LRRSTO
• description: This is the matlab code for hyperspectral anomaly detection. For more details, please refer to the paper:
  [1] Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint, Remote Sensing, 2019, 11(13): 1578.
• Matlab Codes: Download
3. Hyperspectral Anomaly Detection: 2S-GLRT
• description: This is the matlab code for hyperspectral anomaly detection. For more details, please refer to:
  [1] Multipixel Anomaly Detection With an Unknown Pattern for Hyperspectral Imagery[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, doi: 10.1109/TNNLS.2021.3071026.
• Matlab Codes: Download
4. Hyperspectral Anomaly Detection: CRDBPSW
• description: This is the matlab code for hyperspectral anomaly detection. For more details, please refer to:
  [1] Collaborative Representation with Background Purification and Saliency Weight for Hyperspectral Anomaly Detection[J]. Science China Information Sciences, 2022 Jan, 65(1):1-12.
• Matlab Codes: Download
5. Hyperspectral Anomaly Detection: SSFAD
• description: This is the matlab code for hyperspectral anomaly detection. For more details, please refer to:
  [1] A Spectral-Spatial Fusion Anomaly Detection Method for Hyperspectral Imagery[J].arXiv:2202.11889.
• Matlab Codes: Download

---

C. Change Detection

1. Hyperspectral Change Detection: maxtreeCD/mintreeCD/SALA
• description: This is the matlab and C++ codes for hyperspectral change detection. For more details, please refer to:
  [1] Hyperspectral Change Detection Based on Multiple Morphological Profiles[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, doi:10.1109/TGRS.2021.3090802.
• C++/Matlab Codes: Download
2. Hyperspectral Change Detection: TDRD
• description: This is the matlab and C++ codes for hyperspectral change detection. For more details, please refer to:
  [1] Three-Order Tucker Decomposition and Reconstruction Detector for Unsupervised Hyperspectral Change Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, doi: 10.1109/JSTARS.2021.3088438.
• Matlab Codes: Download
3. Hyperspectral Change Detection: PTCD
• description: This is the matlab and C++ codes for hyperspectral change detection. For more details, please refer to:
  [1] A Patch Tensor-Based Change Detection for Hyperpectral Images[C]. IEEE International Geoscience and Remote Sensing Symposium, 2021, pp.4328-4331.
• Matlab Codes: Download

---

D. Object Tracking

1. Hyperspectral Object Tracking: TSCFW
• description: This is the matlab codes for TSCFW tracker. For more details, please refer to:
  [1] Spatial–Spectral Weighted and Regularized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, doi:10.1109/TGRS.2022.3215431.
• Matlab Codes: Download
2. Hyperspectral Object Tracking: SiamBAG
• description: This is the python codes for SiamBAG tracker. For more details, please refer to:
  [1] SiamBAG: Band Attention Grouping-based Siamese Object Tracking Network for Hyperspectral Videos[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi:10.1109/TGRS.2023.3285802.
• Python Codes: Download

If these links are not available, please contact me by email.