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

Volume

1

fYear

2009

fDate

4-5 July 2009

Firstpage

378

Lastpage

381

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.283

Filename

5200142