高分辨率遥感影像融合及其质量评价

随着遥感技术的发展，获取遥感数据的手段越来越丰富。如何综合各种类型的遥感影像信息，提高遥感数据的利用效益已成为遥感应用的瓶颈问题。多源遥感数据融合技术是解决这一问题的有效手段。高空间分辨率影像数据的多样性和复杂性对遥感信息融合处理技术提出了新的更高的要求。研究中引入了多种融合方法，在此基础上以QuickBird自身的多光谱和全色波段影像为实验对象，从光谱质量和空间信息的角度出发对融合方法进行了比较研究，分析出了比较适合于QuickBird卫星的高分辨率影像融合的处理方法。最后给出了关于高分辨率遥感影像融合技术的思考和展望。

High-resolutiun remote sensing image fusion and quality evaluation

Along with the development of remote sensing technology,various methods for data collection have been presented. Currently, how to synthetically deal with different tvpes of image information and how to improve the efficiency of data use should be a bottleneck problem. With this consideration, the data fusion technology of multi, sources could be an effective method to solve this problem. Quickbird provides 0. 61 m pan and 2. 44 multi-spectral data, which can be fused to improve the class accuracy of visual or computer interpretation. The technique used in pixel level image fusion is systematically analyzed, including Brovey transform, PCA transfom, HIS transform Gram-schmidt transform and Pansharp transform.In order to choose more suitable methods for high resolution image, a fusion experiment of Quickbird image is conducted to compare the different fusion methods from spectral quality and spatial data. Finally, the future applications of this technology are discussed.