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遥感技术与应用  2011, Vol. 27 Issue (1): 1-7    DOI: 10.11873/j.issn.1004-0323.2011.1.1
综述     
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
顾玲嘉1,2,赵凯1,孙健1,2,郑兴明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)
 全文: PDF 
摘要:

星载被动微波遥感数据以其全天候、穿透性以及不受云干扰等特点,在全球变化研究领域取得了广泛的应用,然而其较低的空间分辨率,限制了后期地物参数的反演精度。对国内外被动微波遥感数据空间分辨率提高方法进行介绍,重点介绍了基于图像处理技术的超分辨率增强和混合像元分解方法。通过对两类方法的介绍和评价,展望被动微波遥感数据混合像元分解方法的研究前景。被动微波遥感数据空间分辨率的有效提高,可以为更多的研究和应用领域服务。

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    
Abstract:

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: 2011-05-05
:  TP 75  
基金资助:

中国科学院知识创新工程重要方向项目(KZCX2-YW-340),国家自然科学基金项目(40971189、41101419),中国博士后科学基金项目(20100471276)。

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。 Email:zhaokai@neigae.ac.cn。    
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。Email:gulingjia@jlu.edu.cn。
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引用本文:

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, 2011, 27(1): 1-7.

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, 2011, 27(1): 1-7.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.1.1        http://www.rsta.ac.cn/CN/Y2011/V27/I1/1

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