High Performance Computing in Remote Sensing Image Processing

• Main Authors: Yu-Jin Su, 蘇育瑨
• Other Authors: Yu-Chang Tzeng
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/69046935405040162939

碩士 === 國立聯合大學 === 電子工程學系碩士班 === 99 === Equipped on satellite and/or airplane, the remote sensing sensors acquire information about the targets on the Earth without actually contact with them. With the revolutionizing advents in sensor technology, hyperspectral and high spatial resolution remote sensing images are increasingly produced. It is necessary to develop techniques and models for efficiently processing large volume of remote sensing images. In this study, there different high performance computing architectures, namely multi-core, cluster computing and mix parallel model, were adopted for processing hyperspectral and high spatial resolution remote sensing images. Experimental results indicated that high performance computing techniques were able to process large volume of remote sensing images effectively and reduce the computation time tremendously.