The application of parallel computing technology in the data processing of the imaging spectrometer

被引：0

作者：

Zhang, Lei ^{[1
]}

Gao, Jiao Bo ^{[1
]}

Gao, Meng ^{[1
]}

Xie, Jun Hu ^{[1
]}

Meng, He Min ^{[1
]}

Zhang, Fang ^{[1
]}

Zhao, Yu Jie ^{[1
]}

Xiao, Xiang Guo ^{[1
]}

机构：

[1] Xian Inst Appl Opt, Xian, Peoples R China

来源：

SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS 2014, PT I | 2015年 / 9521卷

关键词：

parallel computing; OpenMP; hyperspectral; data processing;

D O I：

10.1117/12.2185110

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

During the research of hyper-spectral imaging spectrometer, how to process the huge amount of image data is a difficult problem for all researchers. The amount of image data is about the order of magnitude of several hundreds megabytes per second. With the development of multi-core computer, parallel computing on multi-core computer is increasingly applied in large-scale data processing. In this paper, we give a detailed discussion of parallel computing technology, we also apply this technology to the data processing of hyper-spectral image data. Experimental results show that the speed of data processing is apparently improved. Our research has significant meaning for the engineering application of hyper-spectral imaging spectrometer.

引用

页数：8