基于小波变换的卫星遥感影像数据融合

遥感信息融合(Fusion)是遥感数据处理的重要内容之一。通过把高分辨率的全色影像与多光谱彩色低分辨率的数据叠加，可以最大限度地利用不同分辨率、不同光谱信息和不同时相分辨率的遥感信息。首先概括了已有的遥感平台与数据，在给出小波分解基本模型的基础上，探讨了采用小波变换进行遥感信息融合的基本方法和实现流程。同时利用该方法，用于SPOT全色卫星影像数据和Landsat TM多光谱数据的融合处理。作为实际应用，给出了详细的小波信息融合结果，并证明了该方法是切实可行的。

Remote Sensing Image Fusion Based onWavelet Transition

Data Fusion is the process of combining multiple image layers into a single composite image during the procedure of the remote sensing data handling. It is commonly used to enhance the spatial resolution of multispectral datasets using higher spatial resolution panchromatic data. Firstly, the platform and data of remote sensing is generalized. Based on the model of wavelet transforms, remote sensing image fusion is discussed by wavelet transition. Meantime, the flow chart is also given as the detailed explanation. With the fusion method, higher spatial resolution SPOT panchromatic image is fused with the Landsat TM multispectral image. A case study is also presented to achieve the result of the data fusion with wavelet transition as a practical application while its feasibility is proven.