Automatically detect and track infrared small targets with kernel Fukunaga-Koontz transform and Kalman prediction.

@article{Liu2007AutomaticallyDA,
  title={Automatically detect and track infrared small targets with kernel Fukunaga-Koontz transform and Kalman prediction.},
  author={Ruiming Liu and Erqi Liu and Jie Yang and Yong Zeng and Fanglin Wang and Yuan Cao},
  journal={Applied optics},
  year={2007},
  volume={46 31},
  pages={7780-91}
}
Fukunaga-Koontz transform (FKT), stemming from principal component analysis (PCA), is used in many pattern recognition and image-processing fields. It cannot capture the higher-order statistical property of natural images, so its detection performance is not satisfying. PCA has been extended into kernel PCA in order to capture the higher-order statistics. However, thus far there have been no researchers who have definitely proposed kernel FKT (KFKT) and researched its detection performance. For… CONTINUE READING