1. Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images

Mohsen Zare-Baghbidi; Saeid Homayouni; Kamal Jamshidi; A. R. Naghsh-Nilchi

Volume 3, Issue 1 , Winter 2015, , Pages 11-20

Abstract
  Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms ...  Read More