Hyperspectral Anomaly Detection Algorithms
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Following are the different types of Hyperspectral Anomaly Detection Techniques:
- Global RX
- Local RX
- Derivative RX (D-RX)
- Discrete Wavelet Transform RX (DWT-RX)
- Random Selection-based Anomaly Detector (RSAD)
- Fractional Fourier Entropy (FrFE)
- Complementary Subspace Detector (CSD)
- Unsupervised Nearest Regularized Subspace (UNRS)
- local summation unsupervised nearest regularized subspace with an outlier removal anomaly detector (LSUNRSORAD)
- Attribute and Edge-preserving filtering-based Detection (AED)
- Laplacian Anomaly Detector (LAD) using Cauchy distance (Lc)
- LAD using Cauchy distance and spatial variant (Lcs)
- LAD using partial correlation (Lq)
- LAD using partial correlation and spatial variant methods (Lqs)
- Cluster-based Anomaly Detector (CBAD)
- Fuzzy Cluster-based Anomaly Detector (FCBAD)
- Collaborative Representation-based Detector (CRD)
- Potential anomaly and background dictionary construction (PAB-DC)
- Local summation anomaly detection-based on collaborative representation and inverse distance weight (LSAD-CR-IDW)
- Kernel Isolation Forest Detector (KIFD)
- Low-Rank and Sparse Representation (LRASR)
Algorithms | Links |
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Global RX | http://www.spectralpython.net/class_func_ref.html#spectral.algorithms.detectors.rx |
Local RX, CSAD, CBAD, and FCBAD | https://github.com/GatorSense/hsi_toolkit |
KIFD | https://github.com/PuhongDuan/Hyperspectral-anomaly-detection-with-kernel-isolation-forest |
AED | https://github.com/mahdiyousofun/AED-algorithm |
D-RX, DWT, and FrFE | https://github.com/xudongzhao461/Hyperspectral-Anomaly-Detection-by-Fractional-Fourier-Entropy |
PAB-DC | https://github.com/huyanning/Hyperspectral-Anomaly-Detection |
LRASR | https://github.com/axiqia/Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation |
CRD, LSAD, UNRS, LSAD-CR-IDW, and LSUNRSORAD | https://github.com/zephyrhours/Hyperspectral-Anomaly-Detection-LSUNRSORAD-and-LSAD-CR-IDW- |
Lc, Lq, Lcs, Lqs, and RSAD | https://github.com/fverdoja/LAD-Laplacian-Anomaly-Detector |