【摘要】：針對(duì)海量遙感數(shù)據(jù)應(yīng)用中日益顯著的處理效率低下和計(jì)算瓶頸問(wèn)題,基于通用計(jì)算機(jī)圖形處理單元的編程開(kāi)發(fā)使用OpenCL并行處理技術(shù)對(duì)遙感數(shù)據(jù)處理及其過(guò)程進(jìn)行加速,旨在為遙感影像大數(shù)據(jù)處理提供一條更為高效的途徑。在不同顯卡平臺(tái)上對(duì)影像畸變糾正實(shí)施并行處理,結(jié)果表明,OpenCL技術(shù)在提高影像畸變糾正的速度方面作用顯著,可取得29.1倍的最高加速效果;與CUDA并行處理技術(shù)的交叉驗(yàn)證進(jìn)一步凸顯了OpenCL技術(shù)在異構(gòu)平臺(tái)上實(shí)施并行處理時(shí)所具有的通用性的優(yōu)勢(shì)。
[Abstract]:Aiming at the increasingly obvious problems of low processing efficiency and computing bottleneck in the application of massive remote sensing data, OpenCL parallel processing technology is used to accelerate the processing of remote sensing data and its process, which is based on the programming and development of general computer graphics processing unit. The aim is to provide a more efficient way for the processing of remote sensing image big data. Parallel processing of image distortion correction is carried out on different display card platforms. The results show that OpenCL technology plays a significant role in improving the speed of image distortion correction and can achieve the highest acceleration effect of 29.1 times. The cross-validation with CUDA parallel processing technology further highlights the common advantage of OpenCL technology in implementing parallel processing on heterogeneous platforms.
【作者單位】： 西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;國(guó)家測(cè)繪地理信息局衛(wèi)星測(cè)繪應(yīng)用中心;
【基金】：國(guó)家自然科學(xué)基金(41474003) 四川省應(yīng)急測(cè)繪與防災(zāi)減災(zāi)工程技術(shù)研究中心開(kāi)放基金(K2015B007)資助
【分類(lèi)號(hào)】：TP751
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本文編號(hào)：2252479