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	Advances in Multi-Sensor Data Fusion: Algorithms and Applications
	Dong J. ; Zhuang D. F. ; Huang Y. H. ; Fu J. Y.
	2009
关键词	multi-sensor data fusion remote sensing image fusion
英文摘要	With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of "algorithm fusion" methods; (3) Establishment of an automatic quality assessment scheme.
出处	Sensors
卷	9
期	10
页	7771-7784
收录类别	SCI
语种	英语
ISSN号	1424-8220
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24122]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Dong J.,Zhuang D. F.,Huang Y. H.,et al. Advances in Multi-Sensor Data Fusion: Algorithms and Applications. 2009.

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