Optimized algorithm module for large volume remote sensing image processing system

Changfeng Jing; Nan Liu; Renyi Liu

doi:10.1117/12.749313

14 November 2007 Optimized algorithm module for large volume remote sensing image processing system

Changfeng Jing, Nan Liu, Renyi Liu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678928 (2007) https://doi.org/10.1117/12.749313
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Changfeng Jing, Nan Liu, and Renyi Liu "Optimized algorithm module for large volume remote sensing image processing system", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678928 (14 November 2007); https://doi.org/10.1117/12.749313

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