摘要
随着遥感技术的快速发展,影像和数据融合领域的新方法、新算法层出不穷。遥感影像融合技术可以分为3个不同的层次:像素级、特征级和决策级。在回顾现有的多源遥感数据融合技术的基础上,讨论了融合技术的发展趋势。主要讨论内容包括多源高分辨率影像融合新方法、面向应用的影像融合评价和趋势、用于生态建模的LiDAR数据/多源光学/雷达影像融合和分布式传感器网络数据融合等。
With the fast development of remote sensor technologies, the development of new methods and algorithms of multi-source remote sensing data fusion techniques are emerging one after another. Usually fusion techniques can be classified into three levels： the pixel level, the feature level and the decision level. The paper has discussed the following development trends for image and data fusion. The first is new image fusion method for high resolution images; the second is user-oriented image fusion assessment, the third is LiDAR, Optical and SAR data fusion for ecological modeling, and the final is distributed sensor network data fusion.
出处
《地理信息世界》
2011年第2期18-20,共3页
Geomatics World
关键词
遥感
影像和数据融合
发展趋势
remote sensing
image and data fusion
development trend
