摘要
在给出小波变换基本模型的基础上 ,探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理 .快鸟影像数据是目前新的高分辨率卫星遥感数据产品 ,在分析该数据特点的基础上 ,考虑采用小波变换应用于快鸟高分辨率卫星影像数据全色和多光谱数据的融合 ,并给出了具体的数学模型和实现流程 .作为实际应用 ,又详细给出了小波用于遥感数据融合的中间过程和最后结果 ,并通过分析影像融合的效果 ,提出了有效的成果调整方法 。
Base on the basic model of orthogonal wavelet transforms,principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.Quickbird image data is a new product kind for high spatial resolution remote sensing data,so the wavelet transform is adopted by considering the features of the data.The mathematics model and the realization flow chart are then given as the detail explanation when the high spatial resolution panchromatic data is fused with the multispectral datasets for QucikBird images.A case study is also described by giving the middle procedure and the finial outcome.So that the efficient adjustment method is achieved by the analysis to the result of the fusion image while the feasibility of the data fusion by wavelet transform is proven.
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2004年第10期1371-1375,共5页
Journal of Tongji University:Natural Science
基金
国家自然科学基金资助项目 ( 4 0 1710 78)
关键词
遥感影像
小波变换
融合
remote sensing image
wavelet transform
fusion