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New Architectures for Remote Sensing Image Archives

K. Seidel, R. Mastropietro and M. Datcu
A Scientific Vision for Sustainable Development, IGARSS
1997

Abstract

Modern sensor systems have and are continuing to acquire data which serve as valuable information sources for scientists in multiple research and application disciplines. The intrinsic complexity of image data and their large volumes makes their archiving as "file systems" difficult and inefficient. We propose a unified treatment of the archivation of very diverse image products from the point of view of content-based picture query and retrieval systems.


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@InProceedings{eth_biwi_00122,
  author = {K. Seidel and R. Mastropietro and M. Datcu},
  title = {New Architectures for Remote Sensing Image Archives },
  booktitle = {A Scientific Vision for Sustainable Development, IGARSS},
  year = {1997},
  pages = {616-618},
  volume = {1},
  editor = {T. I. Stein},
  keywords = {remote sensing, image indexing, model-based, database, image archive}
}