Visualization of spectral images: a comparative study

نویسندگان

  • Steven Le Moan
  • Alamin Mansouri
  • Jon Y. Hardeberg
  • Yvon Voisin
چکیده

The dimensionality reduction of spectral images for visualization has been a quite active area of research recently. Given the variety of existing approaches, it can be very challenging to understand the actual advantages of one over another, especially in the absence of a very specific application. Moreover, there is no consensus on how to evaluate the general efficiency of such a method. In this paper, we propose a comparison framework not only to compare such techniques, but also to measure their intrinsic properties in terms of naturalness and informative content.

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تاریخ انتشار 2011