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ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
13 years 4 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
CLUSTER
2006
IEEE
13 years 10 months ago
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
Antonio J. Plaza
ESIAT
2009
IEEE
13 years 2 months ago
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
Liu Hangye, Sui Xuelian, Zong Jingchun
IEEEHPCS
2010
12 years 11 months ago
Preliminary results for Atmospheric Remote Sensing data processing through Grid computing
In September 2009, the Indian Remote Sensing OCEANSAT-2 satellite was launched from Sriharikota (India). Moreover, OCEANSAT-2 carry on-board a third payload, called ROSA (Radio Oc...
Lorenzo Mossucca, Olivier Terzo, Maurizio Molinaro...
IGARSS
2009
13 years 2 months ago
High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
Antonio Plaza, Qian Du, Yang-Lang Chang