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| 高分辨率遥感影像并行处理数据分配策略研究 | |
| 引用本文： | 沈占锋,骆剑承,陈秋晓,黄光玉,盛昊.高分辨率遥感影像并行处理数据分配策略研究[J].哈尔滨工业大学学报,2006,38(11):1968-1971,1976. |
| 作者姓名： | 沈占锋 骆剑承 陈秋晓 黄光玉 盛昊 |
| 作者单位： | 1. 中国科学院,遥感应用研究所,北京,100101;中国科学院,地理科学与资源研究所,北京,100101 2. 中国科学院,遥感应用研究所,北京,100101 3. 浙江大学,区域与城市规划系,杭州,310027 4. 中国地质大学,地球科学学院,北京,100083 5. 中国科学院,地理科学与资源研究所,北京,100101 |
| 基金项目： | 国家自然科学基金 , 中国博士后科学基金 , 王宽诚教育基金 , 中国科学院资源与环境信息系统 |
| 摘 要： | 在高分辨率遥感影像信息提取过程中,为提高信息提取的精度,采用基于特征基元的尺度分割方法;为提高信息提取的速度,采用并行计算机制实现遥感影像的信息提取.在采用并行计算实现遥感影像特征提取过程中,提出非均匀数据分配策略,并对其进行基于MPI的实现及效率的分析.结果表明,非均匀的遥感数据划分策略在针对特定图像的并行处理时能够得到比常规均匀划分策略更高的效率. |
| 关 键 词： | MPI 并行计算 信息提取 尺度 数据划分 |
| 文章编号： | 0367-6234（2006）11-1968-04 |
| 收稿时间： | 2004-12-07 |
| 修稿时间： | 2004-12-07 |
Data partition policy of high-resolution remotely sensed image parallel processing |
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| SHEN Zhan-feng,LUO Jian-cheng,CHEN Qiu-xiao,HUANG Guang-yu,SHENG Hao.Data partition policy of high-resolution remotely sensed image parallel processing[J].Journal of Harbin Institute of Technology,2006,38(11):1968-1971,1976. | |
| Authors: | SHEN Zhan-feng LUO Jian-cheng CHEN Qiu-xiao HUANG Guang-yu SHENG Hao |
| Affiliation: | 1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101 ,China; 2. Department of Regional and Urban Planning, Zhejiang University, Hangzhou 310027,China; 3. School of the Earth Sciences and Resources,China University of Geosciences, Beijing 100083, China; 4. Insutitute of Geographical Sciences and National Resources Research, Chinese Academy of Sciences, Beijing 100101 ,China |
| Abstract: | This paper presents the method of improving the efficiency of information extraction based on feature unit of high-resolution remotely sensed image.To improve the precision of image processing,investigators propose the research idea of image rough-classification based on large scale and precise-segmentation based on small scale.To improve the speed of image processing,parallel computing method was used to solve this problem.For the data partition method of parallel computing of remotely sensed image,a new scale asymmetric partition method is given,and the implementation and partition effect based on MPI(Message Passing Interface) are analysed.Results show that the new datapartition method can improve the efficiency of parallel computing for some special remotely sensed image. |
| Keywords: | MPI parallel computing information extraction scale data partition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |