Anomaly and target detection by means of nonparametric density estimation Conference Paper uri icon

abstract

  • We describe a novel completely non parametric high-dimension joint density estimation algorithm suited for anomaly and target detection using hyperspectral imaging. The new algorithm is compared against linear matched filter detection schemes with different available sample sizes, background statistics (MVN, GMM and non Gaussian). The new algorithm is shown to be superior in important cases.

publication date

  • May 24, 2012