Advances in Multi-Sensor Data Fusion: Algorithms and Applications
文献类型：期刊论文
| 作者 | Dong, Jiang; Zhuang, Dafang(庄大方) ; Huang, Yaohuan; Fu, Jingying
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| 刊名 | 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
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| 出版日期 | 2009 |
| 卷号 | 9期号:10页码:7771-7784 |
| 关键词 | Multi-sensor Data Fusion Remote Sensing |
| 通讯作者 | Dong J |
| 学科主题 | Chemistry ; Analytical ; Electrochemistry ; Instruments & Instrumentation |
| 资助机构 | State Key Laboratory of Resources and Environment Information System ; Ministry of Science and Technology of China [2006CB403400-5, 2008BAC34B06] |
| 公开日期 | 2011-06-10 |
| 源URL | [http://192.168.22.105/handle/311030/4193]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 推荐引用方式 GB/T 7714 | Dong, Jiang,Zhuang, Dafang,Huang, Yaohuan,et al. Advances in Multi-Sensor Data Fusion: Algorithms and Applications[J]. 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,2009,9(10):7771-7784. |
| APA | Dong, Jiang,Zhuang, Dafang,Huang, Yaohuan,&Fu, Jingying.(2009).Advances in Multi-Sensor Data Fusion: Algorithms and Applications.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,9(10),7771-7784. |
| MLA | Dong, Jiang,et al."Advances in Multi-Sensor Data Fusion: Algorithms and Applications".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 9.10(2009):7771-7784. |
入库方式： OAI收割
来源：地理科学与资源研究所
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