地质力学学报Issue(2)：190-198,9.
GPU用于高光谱数据高性能计算的应用实践与分析
VALIDATION AND ANALYSIS OF HIGH PERFORMANCE COMPUTATION ON HYPERSPECTRAL IMAGERY BASED ON GPU
摘要
Abstract
Hyperspectral imagery has many characteristics, such as plenty of bands, large volume of data, high computing complexity. In recent years, high performance computation has been making great progress in remote sensing based on GPU, providing the hardware and technical conditions for the rapid processing of hyperspectral data. We implemented the experiments on a hyperspectral image which was obtained by Hyperion of EO⁃1 satellite in East Tianshan area, Xinjiang, using SAM and PPI algorithms based on CPU and GPU, trying to study the fast processing technology on hyperspectral data. . Actually the GPULib and CUDA API were used through IDL language and the data was tested by different algorithms. The results show that the processing efficiency of hyperspectral data in GPU is greater than CPU and the technology can be used in remote sensing image processing.关键词
高光谱数据/GPU/高性能计算/SAM/PPIKey words
hyperspectral data/GPU/high performance computation/SAM/PPI分类
信息技术与安全科学引用本文复制引用
许宁,肖新耀,胡玉新,温静,汪大明..GPU用于高光谱数据高性能计算的应用实践与分析[J].地质力学学报,2015,(2):190-198,9.基金项目
中国地质调查局地质调查项目“地质勘查遥感系统集成与综合应用示范” （）
