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遥感技术与应用  2012, Vol. 27 Issue (1): 1-6    DOI: 10.11873/j.issn.1004-0323.2012.1.1
(1.中国科学院东北地理与农业生态研究所,吉林 长春 130012;2.吉林大学电子科学与工程学院,吉林 长春 130012 )
Review on the Super Resolution Enhancement and Unmixing Method for Passive Microwave Remote Sensing Data
Gu Lingjia1,2,Zhao Kai1,Sun Jian1,2,Zheng Xingming1
(1.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,China;2.College of Electronic Science & Engineering,Jilin University,Changchun 130012,China)
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关键词: 被动微波遥感数据空间分辨率超分辨率增强混合像元分解被动微波遥感数据空间分辨率超分辨率增强混合像元分解    

Satellite-based passive microwave remote sensing data has wide applications in global environmental change research because of the characteristics of all-day observation,penetrability and uninfluenced by clouds.The main drawback of passive microwave remote sensing is the extreme low spatial resolution,which limits the precision of surface parameters retrieval.Due to the restriction of size and weight from satellite payload,satellite passive microwave radiometer can not assemble a large antenna,which causes low spatial resolution.The spatial resolution improvement methods of passive microwave remote sensing data are introduced in the paper.The super spatial resolution method and passive microwave unmixing method based on image processing technology are mainly discussed.The research prospects of the unmixing methods are proposed after the introduction and evaluation of present methods.The effective improvement of spatial resolution of passive microwave data can be used to service for more research and application fields well.The research results provide important information for passive microwave unmixing method with higher precision and more application field.

Key words: Passive microwave data    Spatial resolution    Super resolution enhancement    Unmixing method    Passive microwave data    Spatial resolution    Super resolution enhancement    Unmixing method
收稿日期: 2011-04-11 出版日期: 2012-03-22
:  TP 75  


通讯作者: 赵凯(1962-),男,吉林长春人,研究员,博士生导师,主要从事微波遥感研究。。    
作者简介: 顾玲嘉(1981-),女,吉林长春人,副教授,博士后,主要从事卫星遥感数据处理和分析研究。。
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顾玲嘉,赵凯,孙健,郑兴明. 被动微波遥感数据超分辨率增强与混合像元分解研究综述[J]. 遥感技术与应用, 2012, 27(1): 1-6.

Gu Lingjia,Zhao Kai,Sun Jian,Zheng Xingming. Review on the Super Resolution Enhancement and Unmixing Method for Passive Microwave Remote Sensing Data. Remote Sensing Technology and Application, 2012, 27(1): 1-6.


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