Small sample training and test selection method for optimized anomaly detection algorithms in hyperspectral imagery

Authors

• Frank M. Mindrup, Air Force Institute of Technology
• Mark A. Friend, Air Force Institute of Technology
• Kenneth W. Bauer, Air Force Institute of Technology

Document Type

Article

Publication Date

9-1-2012

Comments

© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)

The full article is available from SPIE via subscription or purchase, using the DOI link below.

DOI

10.1117/1.JRS.6.063563

Source Publication

Journal of Applied Remote Sensing (ISSN 1931-3195)

Recommended Citation

Frank M. Mindrup, Mark A. Friend, Kenneth W. Bauer "Small sample training and test selection method for optimized anomaly detection algorithms in hyperspectral imagery," Journal of Applied Remote Sensing 6(1), 063563 (24 Sept 2012) https://doi.org/10.1117/1.JRS.6.063563