Anomaly Detection in Hyperspectral Imaging - Neal Gallagher

Anomaly Detection in Hyperspectral Imaging - Neal Gallagher

Chemometrics & Machine Learning in Copenhagen via YouTube Direct link

Intro

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1 of 18

Intro

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Anomaly Detection in Hyperspectral Imaging - Neal Gallagher

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  1. 1 Intro
  2. 2 Why Hyperspectral Imaging? • Useful for detection of small signals in heterogenous samples where quantities of contaminants may be low on a volume basi but may dominate signal in a single pixel, and …
  3. 3 PCA Anomaly Detection
  4. 4 Anomaly Detection Summary
  5. 5 T² is a Weighting
  6. 6 Example of GLS Weighting
  7. 7 Detection Algorithms
  8. 8 GLS Target Detection Example Signal from the unadulterated wheat gluten is highly variable and
  9. 9 56 ppm Example
  10. 10 Iterative De-Weighting
  11. 11 De-Weight Target by Clutter
  12. 12 200 ppm Melamine in Wheat Gluter
  13. 13 GLS Target Detection Summary
  14. 14 De-Weight vs Orthogonalize
  15. 15 Targeted Anomaly Detection
  16. 16 Hidden Watermark
  17. 17 Section 9
  18. 18 Conclusions

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