Coping with mixtures of backgrounds in a sliding window anomaly detection algorithm Academic Article uri icon


  • ABSTRACT Without prior information about the spectral signature of the desired targets in hyper-or multi-spectral images, detection algorithms look for those pixels that deviate most strongly from the statistics of their surrounding backgrounds. If we presume that the distribution of the background signatures is multivariate Gaussian, then the most common anomaly test is the RX algorithm which is based on the Mahalanobis distance. We have implemented an anomaly detection algorithm based on Triple Concentric Sliding …

publication date

  • January 1, 2008