计算机技术与发展Issue(11)：69-73,78,6.DOI:10.3969/j.issn.1673-629X.2014.11.018
基于数据同化的图像融合方法研究
Research on Image Fusion Method Based on Data Assimilation
摘要
Abstract
Data assimilation with its benefits of combing observation data with prediction model in the field of numerical prediction is widely used in the field of remote sensing image processing and the image fusion. In this paper,the meaning of data assimilation and the structure of its system are presented,the principle of its applying into image fusion is analyzed. Referring to the existed research,also have a detailed analysis of different image fusion methods based on data assimilation and different optimization algorithms,further more,the work of classification and comparison is done,both the advantages and the disadvantages are emphasized and the direction of future re-search are showed. Then by summarizing the insufficient cased by the image fusion methods based on data assimilation,the development and the research direction of this method are discussed further.关键词
图像融合/数据同化/遗传算法/粒子群算法/差分进化算法Key words
image fusion/data assimilation/GA/PSO/differential evolution algorithm分类
信息技术与安全科学引用本文复制引用
杨思燕,陈为胜..基于数据同化的图像融合方法研究[J].计算机技术与发展,2014,(11):69-73,78,6.基金项目
国家自然科学基金资助项目(61272280) （61272280）
陕西工商职业学院课题(13G-08-B22) （13G-08-B22）
