太阳成8722(中国)有限公司-GREEN NO.1

标题：A Parallel Computing Paradigm for Pan-Sharpening Algorithms of Remotely Sensed Images on a Multi-Core Computer作者：Yang, Jinghui; Zhang, Jixian; Huang, Guoman

来源出版物：REMOTE SENSING 卷：6 期：7 页：6039-6063 DOI：10.3390/rs6076039 出版年：JUL 2014

摘要：Pan-sharpening algorithms are data-and computation-intensive, and the processing performance can be poor if common serial processing techniques are adopted. This paper presents a parallel computing paradigm for pan-sharpening algorithms based on a generalized fusion model and parallel computing techniques. The developed modules, including eight typical pan-sharpening algorithms, show that the framework can be applied to implement most algorithms. The experiments demonstrate that if parallel strategies are adopted, in the best cases the fastest times required to finish the entire fusion operation (including disk input/output (I/O) and computation) are close to the time required to directly read and write the images without any computation. The parallel processing implemented on a workstation with two CPUs is able to perform these operations up to 13.9 times faster than serial execution. An algorithm in the framework is 32.6 times faster than the corresponding version in the ERDAS IMAGINE software. Additionally, no obvious differences in the fusion effects are observed between the fusion results of different implemented versions.

入藏号：WOS:000340038700008

文献类型：Article

语种：English

作者关键词：remote sensing, data fusion, pan-sharpening, high performance computing, multi-core computer

扩展关键词：HIGH-SPATIAL-RESOLUTION; WAVELET DECOMPOSITION; MULTISPECTRAL IMAGES; PANCHROMATIC IMAGES; FUSION METHODS; PANSHARPENING ALGORITHMS; MULTIRESOLUTION ANALYSIS; HYPERSPECTRAL IMAGERY; SPECTRAL RESPONSE; HIGH-PERFORMANCE

通讯作者地址：Yang, Jinghui; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：jhyang@vip.163.com; jxzhang@casm.ac.cn; huang.guoman@casm.ac.cn

地址：

[Yang, Jinghui; Zhang, Jixian]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Yang, Jinghui; Zhang, Jixian; Huang, Guoman] CASM, Beijing 100830, Peoples R China.

研究方向：Remote Sensing

ISSN：2072-4292