Multidimensional image processing for remote sensing anomaly detection

@article{Rosario2010MultidimensionalIP,
  title={Multidimensional image processing for remote sensing anomaly detection},
  author={Dalton S. Rosario and Jo{\~a}o M. Romano},
  journal={2010 2nd International Conference on Image Processing Theory, Tools and Applications},
  year={2010},
  pages={471-476}
}
This paper presents a unique multidimensional image processing approach for autonomous detection of anomalous materials in unknown natural clutter scenarios. Scene anomaly detection has a wide range of use in remote sensing applications requiring no specific material signatures. The approach uses a repeated multisampling scheme to characterize the unknown clutter background and the most popular anomaly detection algorithm—the Reed-Xiaoli algorithm—for scoring. The approach requires only a small… CONTINUE READING