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《Science of Surveying and Mapping》 2014-11
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Study on semi-global matching algorithm extended for multi baseline matching and parallel processing method based on GPU

LIU Zhao-hua;YANG Yu-xia;MA Da-xi;YANG Jing-yu;School of Construction and Mapping,Jiangxi University of Science and Technology;Troops 61733;  
This paper firstly analyzed the principle of semi-global matching algorithm,then extended it into multi baseline matching to improve the matching reliability and keep the regular processing structure,and then realized its fine granularity parallel processing technologies based on GPU,in which especially studied the kernel function optimization strategies and the GPU threads' executing scheme of matching cost cube computing and aggregating;at last did a system experiment to MVLL's semi-global optimize algorithm using three UCD aerial images based on Tesla C2050 GPU card to improve its effectiveness and productiveness.
【Fund】: 江西省教育厅科学技术研究项目(GJJ11474)
【CateGory Index】: TP391.41
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