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PDP
2007
IEEE
13 years 12 months ago
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations
Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel al...
Antonio Plaza, David Valencia, Soraya Blazquez, Ja...
ICPPW
2003
IEEE
13 years 10 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
IPPS
1999
IEEE
13 years 9 months ago
GA-Based Parallel Image Registration on Parallel Clusters
Genetic Algorithms (GAs) have been known to be robust for search and optimization problems. Image registration can take advantage of the robustness of GAs in finding best transform...
Prachya Chalermwat, Tarek A. El-Ghazawi, Jacquelin...
JPDC
2008
217views more  JPDC 2008»
13 years 5 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza
ICDCS
2006
IEEE
13 years 11 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia