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Proceedings Paper

Parallel computing rendering in specific remote sensing image processing
Author(s): Bingjing Mao; Bo Xue; Xiaomei Chen; Guoqiang Ni
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Paper Abstract

Because of the more in-depth scientific research, remote sensing images often contain huge amounts of information. Therefore, remote sensing images always have features with multi-dimensions details and huge size. In order to obtain the ground information more accurately from the images, the remote sensing image processing would have several steps in the aim of better image restore and the image information refining. Frequently, processing for this type of images has faced to some difficult issues, such as calculating slowly or consuming huge in resources. For this reason, the parallel computing rendering in remote sensing image processing is essentially necessary. The parallel computing method approached in this paper does not require the original algorithm rewriting. Under a distributed framework, the method allocated the original algorithm efficiently to the multiple computing cores of the processing computer. Because this method has fully use the computing resources, so the calculating time would be reduced linearly with the number of computing threads. What's more, the method can also truly guarantee the integrity of the remote sensing image data. For the purpose of validating the feasibility of the method, this paper put the parallel computing method on application, in which the method rendering into a radiation simulation of remote sensing image processing. We conducted several experiments and got the statistical results. We integrated the parallel computing into the core of the original algorithm - the wide huge size convolution. The experimental results showed that the computing efficiency improved linearly. The number of computer calculating core was proportionally related to the reduced rate of computing time. At the same time, the computing results were identical to the original results.

Paper Details

Date Published: 10 November 2010
PDF: 11 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 785028 (10 November 2010); doi: 10.1117/12.870477
Show Author Affiliations
Bingjing Mao, Beijing Institute of Technology (China)
Bo Xue, Beijing Institute of Technology (China)
Xiaomei Chen, Beijing Institute of Technology (China)
Guoqiang Ni, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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