摘要
借鉴气象领域中数据同化思想,提出了一种基于数据同化的多光谱和全光谱影像融合框架。此框架可根据后续处理对影像各个属性指标值的依赖程度确定各个属性指标的权重,构造由影像各个评价指标的加权和组成的目标函数,从而获取合适的影像。实验验证了该框架的有效性。
Most of fusion algorithms at present such as IHS method, Brovey method,PCA method, wavelet transformation, Gaussian-Laplace pyramid are operated under certain fusion rules, and cannot be adjusted adaptively according to the application target of the fusion images. In order to solve this problem, data assimilation conception in meteorological field is introduced and a novel method fusing multispectral and panchromatic images based on the data assimilation is proposed. The method can adjust the values of the image quality evaluating indicator according to different using goals.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第8期919-923,共5页
Geomatics and Information Science of Wuhan University
基金
国家973计划资助项目(2006CB701303)
国家863计划资助项目(2006AA12Z132)
武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目
长沙市软科学基金资助项目(K0802190-41)
湖南省教育厅科研资助项目(08C485)
关键词
数据同化
遗传算法
影像融合
data assimilation
genetic algorithm image fusion
