| 高光谱遥感蚀变填图SCM并行算法设计与实现 |
| |
| 引用本文： | 程宾洋,王茂芝,罗耀华,郭科.高光谱遥感蚀变填图SCM并行算法设计与实现[J].软件,2012(8):144-146. |
| |
| 作者姓名： | 程宾洋 王茂芝 罗耀华 郭科 |
| |
| 作者单位： | 四川省数学地质重点实验室,成都610059 |
| |
| 摘 要： | 由于空间和波谱分辨率的不断提高,高光谱遥感影像的海量数据特性导致高光谱遥感影像并行处理成为遥感影像处理技术的发展趋势。本文基于CUDA和GPU环境,设计并实现了高光谱遥感蚀变填图的SCM并行算法。实验结果表明,并行加速比可达到25,SCM并行算法能有效改善算法性能。
|
| 关 键 词： | GPU CUDA 并行计算 SCM |
SCM Parallel Algorithm Design and Implementation and its Application on Alteration Mineral Mapping |
| |
| CHENG Bin-yang,WANG Mao-zhi,LUO Yao-hua,GUO Ke.SCM Parallel Algorithm Design and Implementation and its Application on Alteration Mineral Mapping[J].Software,2012(8):144-146. |
| |
| Authors: | CHENG Bin-yang WANG Mao-zhi LUO Yao-hua GUO Ke |
| |
| Affiliation: | ( Geomathematics＇Key Lab of Sichuan Province, Sichuan, Chengdu, 610059, P..R. China) |
| |
| Abstract: | As the continuous improvement of the spatial and spectral resolution, hyperspectral remote sensing image data becomes enormous. Hyperspectral remote sensing image parallel processing technology becomes a development trend. Based on the CUDA and GPU experiment environment, this article designs and implements SCM parallel algorithm of hyperspectral alteration mineral mapping. The experimental results show that the parallel speedup can be achieved 25. SCM parallel algorithm can effectively improve the performance of the algorithm. |
| |
| Keywords: | GPU CUDA Parallel computing SCM |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
