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Parallel Processing of Target Detection in SAR Image
Author: LiLiMin
Tutor: ZouBin
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: Parallel computing Synthetic Aperture Radar Load balancing Target detection
CLC: TN957.52
Type: Master's thesis
Year: 2010
Downloads: 73
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Abstract
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Parallel processing technology in the past 30 years , the rapid development of an interdisciplinary , to resolve the problem of large - scale scientific computing provides important help . Synthetic aperture radar (SAR) has the all-time characteristics of the work around the clock , has important applications in the field of science . In practical applications , it is necessary the first time interpreted the SAR image , but is limited by the SAR image scene characteristics , stand-alone serial processing of vast amounts of data is difficult to meet the actual demand . Therefore , through some sort of technology to achieve fast interpretation of SAR images is of great practical significance . Paper designs and implements the three load balancing algorithms , different general-purpose parallel computer cluster environment , a typical SAR image target detection on the effectiveness of the three load balancing algorithm were verified , and its detailed performance analysis and in-depth discussion . First , the paper briefly describes the course of development at home and abroad with the status quo of parallel processing technology and the SAR image target detection . Then introduced the basic theory of parallel processing technology and two typical SAR image target detection algorithm , turn to the general physical serial algorithm parallelization analysis based methods and feasibility analysis of the SAR image target detection algorithm parallelization . Next, the combination of the characteristics of the SAR image target detection algorithm design parallel processing algorithms for image segmentation strategy . For general-purpose parallel processing fleet diversity , design a generic load balancing algorithm for SAR image target detection : static load balancing and dynamic load balancing . And the combination of general-purpose parallel processing characteristics of the fleet and SAR image target detection , optimal static load balancing algorithm based test feedback . Isomorphism and heterogeneous cluster environment , respectively, the CFAR and EF target detector three load balancing algorithms exhaustive testing and research . Through the analysis of the experimental results verify the effectiveness of the three algorithms and apply parallel processing cluster environment . Finally, the entire research summary, conclusions , and further research direction and content of the author's point of view .
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
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