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Proceedings Paper

Optimized algorithm module for large volume remote sensing image processing system
Author(s): Changfeng Jing; Nan Liu; Renyi Liu
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Paper Abstract

A new remote sensing image processing system's algorithm module has been introduced in this paper, which is coded with Visual C++ 6.0 program language and can process large volume of remote sensing image. At the same time, adopted key technologies in algorithm module are given. Two defects of American remote sensing image processing system called ERDAS has been put forward in image filter algorithm and the storage of pixel values that are out of data type range. In author's system two optimized methods has been implemented in these two aspects. By contrasted with ERDAS IMAGINE System, the two methods had been proved to be effective in image analysis.

Paper Details

Date Published: 14 November 2007
PDF: 9 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678928 (14 November 2007); doi: 10.1117/12.749313
Show Author Affiliations
Changfeng Jing, Zhejiang Univ. (China)
Nan Liu, Zhejiang Univ. (China)
Renyi Liu, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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