This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication

Year(s) from:  to 
Keywords (separated by spaces):

Image Information Mining: Exploration of Image Content in Large Archives

M. Datcu and K. Seidel
IEEE Aerospace Conference Proceedings
Big Sky MT, USA, March 2000


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 applica- tions involve complicated spatial and structural relationships among image objects.

Download in pdf format
  author = {M. Datcu and K. Seidel},
  title = {Image Information Mining: Exploration of Image Content in Large Archives},
  booktitle = {IEEE Aerospace Conference Proceedings},
  year = {2000},
  month = {March},
  keywords = {remote sensing,information mining,archive}