Target Detection in Hyperspectral Images Based on Independent Component Analysis

@inproceedings{Robilaa2003TargetDI,
  title={Target Detection in Hyperspectral Images Based on Independent Component Analysis},
  author={Stefan A. Robilaa and Pramod K. Varshneyb},
  year={2003}
}
  • Stefan A. Robilaa, Pramod K. Varshneyb
  • Published 2003
The paper presents an algorithm based on Independent Component Analysis (ICA) for the detection of small targets present in hyperspectral images. ICA is a multivariate data analysis method that attempts to produce statistically independent components. This method is based on fourth order statistics. Small, man-made targets in a natural background can be seen as anomalies in the image scene and correspond to independent components in the ICA model. The algorithm described here starts by… CONTINUE READING
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