【摘要】：隨著遙感技術(shù)的發(fā)展,遙感在各個(gè)領(lǐng)域的應(yīng)用越來(lái)越普遍,當(dāng)前我國(guó)的遙感應(yīng)用正處于發(fā)展階段,有必要對(duì)人類(lèi)賴以生存的自然環(huán)境進(jìn)行長(zhǎng)期的動(dòng)態(tài)監(jiān)測(cè),對(duì)災(zāi)害信息進(jìn)行有效的提取。合成孔徑雷達(dá)(Synthetic Aperture Radar——SAR)是一種高分辨率成像雷達(dá),具有全天時(shí)、全天候的特點(diǎn),在災(zāi)害檢測(cè)方面具有獨(dú)特的優(yōu)勢(shì),但由于SAR圖像一般含有海量數(shù)據(jù)信息,而且SAR圖像災(zāi)害算法計(jì)算模型比較復(fù)雜,所以針對(duì)SAR圖像的災(zāi)害算法處理會(huì)耗費(fèi)大量的時(shí)間。通常在災(zāi)害處理時(shí)必須依據(jù)圖像快速實(shí)時(shí)地得出計(jì)算結(jié)果從而制定出可行的保護(hù)措施,因此有必要研究和設(shè)計(jì)SAR圖像災(zāi)害檢測(cè)算法的快速處理方法,并將其集成于SAR圖像處理系統(tǒng)中。本文研究了面向?yàn)?zāi)害信息提取的快速處理算法,并分別給出了基于MPI+OpenMp和OpenCL的兩種不同形式的并行處理方案,同時(shí)將設(shè)計(jì)好的算法模塊集成于SAR圖像處理軟件中,主要研究工作如下:(1)設(shè)計(jì)了基于MPI集群加OpenMp共享存儲(chǔ)的混合并行算法。主要針對(duì)道路損毀算法設(shè)計(jì)了多節(jié)點(diǎn)和節(jié)點(diǎn)內(nèi)部的兩級(jí)并行方案。在道路損毀提取算法的MPI+OpenMp混合并行實(shí)現(xiàn)中,對(duì)SAR圖像數(shù)據(jù)進(jìn)行了詳細(xì)的數(shù)據(jù)分塊。通過(guò)實(shí)驗(yàn)分析了節(jié)點(diǎn)數(shù)對(duì)混合模型算法的影響,證明了計(jì)算機(jī)集群與OpenMp的混合并行方案在小型試驗(yàn)室相對(duì)于串行算法的優(yōu)越性。(2)由于GPU在處理SAR圖像海量數(shù)據(jù)方面的優(yōu)勢(shì),本文主要設(shè)計(jì)了基于OpenCL的道路損毀并行算法。在具體設(shè)計(jì)過(guò)程中,首先對(duì)算法可并行部分進(jìn)行了性能優(yōu)化,進(jìn)一步提升了算法性能�；趦�(yōu)化后的算法,詳細(xì)設(shè)計(jì)了存儲(chǔ)以及線程劃分方案,通過(guò)實(shí)驗(yàn)測(cè)試得到了最大13倍的并行加速比。(3)開(kāi)發(fā)了SAR圖像面向?yàn)?zāi)害信息提取軟件,采用面向?qū)ο蟮臉?gòu)建方法,對(duì)各個(gè)功能模塊進(jìn)行了詳細(xì)的設(shè)計(jì)。將算法模塊和系統(tǒng)界面分離,實(shí)現(xiàn)了整個(gè)系統(tǒng)的低耦合性。對(duì)于每個(gè)災(zāi)害處理算法,針對(duì)不同的硬件環(huán)境,使用OpenMp+MPI和OpenCL進(jìn)行并行加速,并將加速算法集成到軟件系統(tǒng)中。
[Abstract]:With the development of remote sensing technology, the application of remote sensing in various fields is becoming more and more common. At present, the application of remote sensing in our country is in the developing stage. It is necessary to carry out long-term dynamic monitoring of the natural environment on which human beings depend for survival. The disaster information is extracted effectively. Synthetic Aperture Radar (Synthetic Aperture Radar--SAR) is a kind of high-resolution imaging radar, which has the characteristics of all-day, all-weather, and has unique advantages in disaster detection. However, SAR images generally contain massive data information. Moreover, the computational model of SAR image disaster algorithm is complex, so the disaster algorithm processing for SAR image will take a lot of time. Usually, in the disaster processing, we must get the calculation results quickly and in real time according to the image, so it is necessary to study and design the fast processing method of the SAR image disaster detection algorithm, so it is necessary to study and design the fast processing method of the disaster detection algorithm of the SAR image. It is integrated into SAR image processing system. In this paper, the fast processing algorithms for disaster information extraction are studied, and two different parallel processing schemes based on MPI OpenMp and OpenCL are presented, and the designed algorithm modules are integrated into the SAR image processing software. The main research work is as follows: (1) A hybrid parallel algorithm based on MPI cluster and OpenMp shared storage is designed. A two-level parallel scheme of multi-node and inside-node is designed for road damage algorithm. In the MPI OpenMp hybrid parallel implementation of road damage extraction algorithm, the SAR image data is divided into blocks in detail. The effect of the number of nodes on the hybrid model algorithm is analyzed through experiments. It is proved that the hybrid parallel scheme of computer cluster and OpenMp is superior to serial algorithm in small laboratory. (2) because of the advantage of GPU in processing massive data of SAR image, this paper mainly designs a road damage parallel algorithm based on OpenCL. In the specific design process, the performance of the parallelism part of the algorithm is optimized, which further improves the performance of the algorithm. Based on the optimized algorithm, the storage and thread partition schemes are designed in detail, and the maximum parallel speedup ratio of 13 times is obtained through experimental tests. (3) the SAR image disaster information extraction software is developed, and the object-oriented construction method is adopted. Each function module is designed in detail. The algorithm module is separated from the system interface to realize the low coupling of the whole system. For each disaster processing algorithm, OpenMp MPI and OpenCL are used for parallel acceleration for different hardware environments, and the acceleration algorithm is integrated into the software system.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN957.52

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