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Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery

Publication ,  Journal Article
Ratto, CR; Morton, KD; Collins, LM; Torrione, PA
Published in: IEEE Transactions on Geoscience and Remote Sensing
2013

Duke Scholars

Published In

IEEE Transactions on Geoscience and Remote Sensing

ISSN

0196-2892

Publication Date

2013

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics
 

Citation

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Ratto, C. R., Morton, K. D., Collins, L. M., & Torrione, P. A. (2013). Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing.
Ratto, C. R., K. D. Morton, L. M. Collins, and P. A. Torrione. “Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing, 2013.
Ratto CR, Morton KD, Collins LM, Torrione PA. Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 2013;
Ratto, C. R., et al. “Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing, 2013.
Ratto CR, Morton KD, Collins LM, Torrione PA. Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 2013;

Published In

IEEE Transactions on Geoscience and Remote Sensing

ISSN

0196-2892

Publication Date

2013

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics