国内多源遥感影像信息融合技术的新进展  

Advances of Multisource Remote Sensing Image Fusion Techniques in China

作　　者：杨丽萍[1] 陈发虎[1] 颉耀文[1] 

机构地区：[1]兰州大学西部环境教育部重点实验室

出　　处：《遥感技术与应用》2007年第1期116-122,共7页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(40571147);科技部国际合作重点项目(2002CB714004)资助

摘　　要：遥感影像信息融合是有效利用遥感海量数据的关键技术。在总结传统遥感影像融合算法的基础上,对传统算法的改进算法和新的融合算法做了较为详尽的介绍,以期为全面系统地了解我国影像融合技术的发展,为我们的学习和研究工作提供便利。With the availability of multisensor, multitemporal, multiresolution and muhifrequency image data from operational Earth observation satellites, the fusion of digital image data has become a valuable tool in remote sensing image processing. For the full exploitation of increasingly sophisticated multisouree data, a lot of image fusion algorithms have been developed. In order to comprehensively understand the development of image fusion technologies in China, this paper reviews the traditional fusion algorithms and some improved fusion algorithms based on traditional HIS, Brovey, PCA and Wavelet fusion in detail. In addition, some new fusion algorithms are also introduced. Problems and prospects of image fusion are addressed simply for the attention of future researches in related fields. As multisouree image fusion is a widely applied technique for various research fields, a comprehensive understanding of the image fusion algorithms would be beneficial for the choice of data and image quality control for different purposes of researches.

关 键 词：多源遥感影像 信息融合 新进展 国内 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]