Title :
High performance image processing of satellite images using graphics processing units
Author :
Rumanek, Michal ; Danek, Tomasz ; Lesniak, Andrzej
Author_Institution :
AGH - Univ. of Sci. & Technol., Krakow, Poland
Abstract :
This paper presents preliminary results of studies concerning possibilities of high performance processing of satellite images using graphics processing units. Even if numerical procedures used for this kind of computation are not complicated and fast, size of typical satellite scene makes them time consuming. This problem is especially troublesome when many, sometimes hundredths of scenes, have to be processed in one computational task. At the present state of the study, using distributed GPU-based computational infrastructure allows to reduce time of typical computation 5 to 6 times. It should be stressed that these results were obtained using three old CUD A 2.1 NVIDIA Quadro 1600M card cluster which efficiency cannot be compared to efficiency of modern CPUs.
Keywords :
computer graphic equipment; coprocessors; geophysical image processing; numerical analysis; parallel architectures; CUDA 2.1; NVIDIA Quadro 1600M card cluster; distributed GPU-based computational infrastructure; graphics processing units; high performance satellite image processing; numerical procedures; satellite scene; Earth; Graphics processing unit; Image processing; Instruction sets; Remote sensing; Satellites; CUDA; Image processing; distributed computing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049189