Unmixing improvement based on bootstrap for hyperspectral imagery

@article{Fossati2016UnmixingIB,
  title={Unmixing improvement based on bootstrap for hyperspectral imagery},
  author={Caroline Fossati and Salah Bourennane and Alexis Cailly},
  journal={2016 6th European Workshop on Visual Information Processing (EUVIP)},
  year={2016},
  pages={1-5}
}
This paper presents an unmixing method for hyperspectral data containing small targets. Each pixel of the target represent the useful data embedded among a large number of background pixels. With recent technological developments of hyperspectral sensors, the spatial resolution increases, and it is possible to detect some small targets containing few pixels… CONTINUE READING