Title :
Parallel Processing Architecture of Remotely Sensed Image Processing System Based on Cluster
Author :
Liu, Hangye ; Fan, Yonghong ; Deng, Xueqing ; Ji, Song
Author_Institution :
Dept. of Remote Sensing Inf. Eng., Zhengzhou Inst. of Mapping & Surveying, Zhengzhou, China
Abstract :
As remote sensing platform and sensor technologies develop quickly, the resolution of remotely sensed images becomes much higher. However, the data processing technologies have been following behind, especially in computing speed and efficiency. Parallel computing technology provides an effective way to solve this problem. In this paper, based on the analysis of parallel computing system, the architecture of remote sensing parallel processing system which is based on cluster computing is studied, and a new hybrid cluster computing architecture for massive remote sensing data processing is put forward, task scheduling of remote sensing processing system and parallel processing workflow are discussed.
Keywords :
computerised instrumentation; data acquisition; remote sensing; workstation clusters; hybrid cluster computing architecture; massive remote sensing data processing; parallel computing; parallel processing; remotely sensed image processing system; Computer architecture; Computer networks; Concurrent computing; Data processing; Image processing; Image sensors; Message passing; Parallel processing; Processor scheduling; Remote sensing;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5300938
