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The Parallel Computing Based on Cluster Computer in the Processing of Mass Aerial Digital Images

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3 Author(s)
Jianqing Zhang ; Supervisor. Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan ; Tao Ke ; Mingwei Sun

With the development of electronic information, the aerial digital image updating is more frequent and the data is more mass, and the traditional method of data processing based on serial computing is difficult to meet the needs of high production efficiency and the quick updating of mass data. For improving the efficiency of data processing, the computing must be parallel. The paper discusses the application and realization method of parallel computing in aerial photogrammetry based on cluster computer. The experiment results demonstrate the feasibility of the method and the high efficiency of the system. By the method of parallel computing, the production efficiency is improved 3 to 10 times.

Published in:

Information Processing (ISIP), 2008 International Symposiums on

Date of Conference:

23-25 May 2008