图像融合在遥感中的应用

介绍了关于低分辨率的多光谱图像与高分辨率的全色图像相融合的一些方法。图像融合的目的是为了获取高分辨率的多光谱图像，它既包含了多光谱信息又具有全色图像的高空间分辨率特点。图像融合在遥感中的主要目的在于尽量保持图像的光谱信息．以便用于土地覆盖分类等领域，这一点与其在军事应用和计算机辅助设计领域有所不同。阐述了如何在不使用高分辨率的全色图像情况下进行融合的方法，由于同时获取的多光谱图像之间存在亚像元级的偏移现象，将位移量作为附加信息来有效提高采样频率，以此获取高空间分辨率信息。最后选取了SPOT卫星的多光谱图像作为例子．对文中所阐述的算法进行了试验，并对试验结果作了比较分析。

Image Fusion in Remote Sensing

Methods for fusing multispectral low-resolution remotely sensed images with a more highly resolved panchromatic image are described, The goal is to obtain a high-resolution multispectral image which combines the spectral characteristic of the low-resolution data with the spatial resolution of the panchromatic image, Unlike other applications, e,g, image fusion in military missions or computer-aided quality control, the main constraint in remote sensing is to preserve the spectral information for tasks like classification of ground cover, In the second part of the article a technique is demonstrated which avoids the requirement of an additional more highly resolved panchromatic image, The developed method is based on a sub-pixel misalignment of simultaneously acquired spectral bands and uses the displacement as additional information that effectively increases the sampling frequency, As an example, the depicted fusion algorithms are applied to three related multispectral images of a SPOT satellite scene and the results are compared,