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
APA
Chicago
ICMJE
MLA
NLM
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