Title :
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Author :
Hangye, Liu ; Xuelian, Sui ; Jingchun, Zong
Author_Institution :
Zhengzhou Inst. of surveying & Mapping, Zhengzhou, China
Abstract :
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and efficiency. However, 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 photogrammetric parallel processing system which is based on cluster computing is studied, and several key techniques such as distributed storage of massive remotely sensed data, design of parallel algorithms and load balancing are discussed.
Keywords :
geophysics computing; parallel processing; pattern clustering; photogrammetry; remote sensing; resource allocation; cluster computing; computing efficiency; computing speed; data processing technologies; data storage; load balancing; parallel algorithms design; parallel computing system; parallel computing technology; photogrammetric parallel processing system; remotely sensed data; Algorithm design and analysis; Computer architecture; Computer networks; Concurrent computing; Costs; Data processing; Distributed computing; Electronic mail; Message passing; Parallel processing; Cluster Computing; Geometric correction; Load Balancing; Parallel Computing; Photogrammetric processing;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.283
