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Image information mining: Tools for interactive value adding on large remote sensing data sets

M. Datcu and K. Seidel
Proceedings of the 20th EARSeL Symposium on Remote Sensing
2000

Abstract

We present an intelligent satellite information mining system, a next generation architecture to help a user to rapidly gather information about courses of action, a tool to add value and to manage the huge amounts of historical and newly acquired satellite data-sets by giving to experts access to relevant information in an understandable and directly usable form and to provide friendly interfaces for information query and browsing. In a remote sensing image archive the data access by geographical position, time of acquisition or type of sensor is often less important than what is the content of the scene, i.e. structures, objects, scattering properties. Interesting applications involve complicated spatial and structural relationships among image objects.


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@InProceedings{eth_biwi_00205,
  author = {M. Datcu and K. Seidel},
  title = {Image information mining: Tools for interactive value adding on large remote sensing data sets},
  booktitle = {Proceedings of the 20th EARSeL Symposium on Remote Sensing},
  year = {2000},
  pages = {11--22},
  editor = {M. Buchroithner},
  publisher = {A. A. Balkema Rotterdam/Brookfield},
  keywords = {remote sensing, archiving, information mining}
}