论文部分内容阅读
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。
With the development of remote sensing technology, the means of obtaining remote sensing data are more and more abundant. How to integrate various types of remote sensing image information and improve the utilization efficiency of remote sensing data has become a bottleneck of remote sensing applications. Multi-source remote sensing data fusion technology is an effective way to solve this problem. The diversity and complexity of high spatial resolution image data put new and higher requirements on remote sensing information fusion processing technology. In this study, we introduced a variety of fusion methods. Based on this, we took QuickBird’s own multi-spectral and panchromatic images as the experimental object, and compared the fusion methods from the perspective of spectral quality and spatial information, High-resolution image fusion method for QuickBird satellite. Finally, the thinking and prospect of high resolution remote sensing image fusion technology are given.