Speaker
Prof.
Gheorghe Adam
(JINR)
Description
The present paper presents a novel approach for efficient satellite image processing. The increasing number of high resolution satellites into orbit and the number of applications using satellite images lead to petabytes of data to be processed. Unfortunately, infrastructures like UNOSAT cannot store and process such amount of information. Consequently, dividing the processing tasks and storage within a GRID infrastructure could represent a solution to this kind of problem. However, for the iterative algorithms and iterative processing tasks applied to high resolution images, the strategy of distributing the jobs over a GRID infrastructure still has its limitation. Thus, FPGA or GPU based application specific hardware architectures can be used together with the GRID infrastructure in order to increase the computing performances. An example of FPGA application specific hardware architecture which makes use of spatial and temporal parallelism is proposed for the iterative Perona Malik image processing filter.
Primary author
Dr
Bogdan Belean
(National Institute for R&D of Isotopic and Molecular Technolgies, Cluj-Napoca, Romania)
Co-authors
Dr
Adrian Bot
(National Institute for R&D of Isotopic and Molecular Technolgies, Cluj-Napoca, Romania)
Dr
Calin Gabriel Floare
(National Institute for R&D of Isotopic and Molecular Technologies)
Carmen Belean
(Babes-Bolyai University, Faculty of Mathematics and Computer Science, Department of Mathematics, Cluj-Napoca, Romania)
Mrs
Codruta Mihaela Varodi
(National Institute for R&D of Isotopic and Molecular Technologies, Cluj-Napoca, Romania)
Prof.
Gheorghe Adam
(JINR)
