Mahalanobis masking: A method for the sensitivity analysis of anomaly detection algorithms for hyperspectral imagery

Authors

• Adam J. Messer, Air Force Institute of Technology
• Kenneth W. Bauer Jr., Air Force Institute of TechnologyFollow

Document Type

Article

Publication Date

4-10-2018

Comments

© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)

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

DOI

10.1117/1.JRS.12.025001

Source Publication

Journal of Applied Remote Sensing (eISSN 1931-3195)

Recommended Citation

Adam J. Messer, Kenneth W. Bauer "Mahalanobis masking: a method for the sensitivity analysis of anomaly detection algorithms for hyperspectral imagery," Journal of Applied Remote Sensing 12(2), 025001 (10 Apr 2018) https://doi.org/10.1117/1.JRS.12.025001