Hyperspectral anomaly detection

This is the implementation of article: "Hyperspectral anomaly detection via integration of feature extraction and background purification".

Usage

Run "demo.m" after setting optimal parameters p, r and k.

Description

• demo.m ---------- main file
  • FEBPAD.m ---------- implementation of the proposed algorithm;
    • FrFT.m ---------- fractional Fourier Transformation;
    • GRX_adv.m ---------- modified GRX with given background atoms;
    • RC_LRASMD.m ---------- row-constrained low-rank and sparse matrix decomposition;
  • ROC.m----------Calculate the AUC value with given detection map.

Reference

If you find the code helpful, please kindly cite the following paper:

• Plain Text:
  Y. Ma, G. Fan, Q. Jin, J. Huang, X. Mei and J. Ma, "Hyperspectral Anomaly Detection via Integration of Feature Extraction and Background Purification," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 8, pp. 1436-1440, Aug. 2021, doi: 10.1109/LGRS.2020.2998809.
• BibTeX:
  @ARTICLE{9115873,
  author={Ma, Yong and Fan, Ganghui and Jin, Qiwen and Huang, Jun and Mei, Xiaoguang and Ma, Jiayi},
  journal={IEEE Geoscience and Remote Sensing Letters},
  title={Hyperspectral Anomaly Detection via Integration of Feature Extraction and Background Purification},
  year={2021},
  volume={18},
  number={8},
  pages={1436-1440},
  doi={10.1109/LGRS.2020.2998809}}