Abstract
The retrieval of images in remote sensing databases is based on world-oriented information like the location of the scene, the utilised scanner, and the date of acquisition. However, these descriptions are not meaningful for many users who have a limited knowledge about remote sensing but nevertheless have to work with satellite imagery. Therefore a content-based dynamic retrieval technique using a cluster architecture to fulfil the resulting computational requirements is proposed. Initially the satellite images are distributed evenly over the available computing nodes and the retrieval operations are performed simultaneously. The dynamic strategy creates the need for a workload balancing before the sub-results are joined in a final ranking.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
T. Bretschneider, R. Cavet, and O. Kao, “Retrieval of remotely sensed imagery using spectral information content”, Geoscience and Remote Sensing Symposium, to be published 2002.
T. Bretschneider, O. Kao, “Indexing strategies for content-based retrieval in satellite image databases”, Conference on Imaging Science, to be published 2002.
S. Geisler, O. Kao, T. Bretschneider, “Analysis of cluster topologies for workload balancing strategies in image databases”, Conference on Parallel and Distributed Processing and Applications, pp. 874–880, 2001.
R. Karp, “Reducibility among combinatorial problems”, in: Complexity of Computer Computations, Plenum Press, pp. 85–104, 1972.
O. Kao, G. Steinert, F. Drews, “Scheduling aspects for image retrieval in cluster-based image databases”, IEEE/ACM Symposium on Cluster Computing, pp. 329–336, 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bretschneider, T., Kao, O. (2002). Retrieval of Multispectral Satellite Imagery on Cluster Architectures. In: Monien, B., Feldmann, R. (eds) Euro-Par 2002 Parallel Processing. Euro-Par 2002. Lecture Notes in Computer Science, vol 2400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45706-2_45
Download citation
DOI: https://doi.org/10.1007/3-540-45706-2_45
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44049-9
Online ISBN: 978-3-540-45706-0
eBook Packages: Springer Book Archive