现代电子技术Issue(3)：47-50,54,5.DOI:10.16652/j.issn.1004-373x.2016.03.012
基于GPU的遥感图像前期处理算法研究与应用
Research and application of GPU-based preprocessing algorithms for remote sensing image
摘要
Abstract
Since the computing time of the traditional preprocessing algorithm that is faced with massive ground data is diffi⁃cult to satisfy the requirement of practical application,the parallel acceleration algorithms of remote sensing image geometric cor⁃rection based on RPC model and image matching technique based on SIFT feature extraction are studied. For the key steps and the speed bottleneck of the geometric correction,the adoptable parallel acceleration method is presented,and the parallel opti⁃mization acceleration scheme is proposed in combination with the characteristics of SIFT. The parallel algorithm based on data partitioning is adopted to accelerate the geometric correction algorithm and SIFT feature extraction algorithm for remote sensing image. In the CUDA environment,the two parallel optimization algorithms were speeded up by design experiment in CPU+GPU heterogeneous system. The test results show that the proposed acceleration scheme and optimization algorithm can greatly im⁃prove the preprocessing efficiency of the remote sensing image.关键词
遥感图像/几何校正/SIFT特征提取/CPU+GPU/并行计算Key words
remote sensing image/geometric correction/SIFT feature extraction/CPU+GPU/parallel computing分类
信息技术与安全科学引用本文复制引用
王化喆,魏先勇..基于GPU的遥感图像前期处理算法研究与应用[J].现代电子技术,2016,(3):47-50,54,5.基金项目
河南省教育厅科学技术研究重点项目沉浸式虚拟漫游技术研究 （）
