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Remote Sensing Technology and Application  2015, Vol. 30 Issue (2): 312-320    DOI: 10.11873/j.issn.1004-0323.2015.2.0312
    
Research on Cloud Removal from Landsat TM Image based on Spatial and Temporal Data Fusion Model
Chen Yang1,2,Fan Jianrong3,Wen Xuehu1,2,Cao Weichao1,2,Wang Lei1,2
(1.Geographic National Condition Monitoring Engineering Research Center
of Sichuan Province,Chengdu 610500,China;
2.The Third Surveying and Mapping Engineering Institute of Sichuan,Chengdu 610500 China;
3.Institute of Mountain Hazards and Environment,Chinese Academy of
Sciences & Ministry of Water Conservancy,Chengdu 610041,China)
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Abstract  

To solve the limitation of the existing models for cloud removal in practical application,in this paper,a new method was proposed based on spatial and temporal data fusion models.First,the data,like TM image at target time was composed by enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) based on temporal change of MODIS data and spatial information of auxiliary TM data;Then,the pixels in target TM image where were contaminated by clouds and shades which were replaced by the compose data.The result show that the color of the replaced area is consistent with the color of area uncontaminated by clouds and shade.Ultimately,the precision of the replaced data is verified indirectly based on the data of target TM image and composed image without cloud and its shade cover.Compared to actual image,the result showed that the relative difference of individual band of composed data is less than 1%;The mean relative error of each band are 16.29%,12.92%,13.47%,12.87%,9.71%,11.84%,respectively;All correlation coefficients are greater than 0.7;The accuracy of non\|cloud and non\|shade area fusion data indicates indirectly that the accuracy of each band of the data to fill the area,contaminated by cloud and shade,is better than 83%.Therefore,the method proposed in this paper which can repair the data contaminated by clouds and shades from TM image and improve MODIS and TM data utilization level.

Key words:  TM      MODIS      Cloud and its shade detection      STARFM      Cloud removal     
Received:  09 January 2014      Published:  08 May 2015
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Chen Yang
Fan Jianrong
Wen Xuehu
Cao Weichao
Wang Lei

Cite this article: 

Chen Yang,Fan Jianrong,Wen Xuehu,Cao Weichao,Wang Lei. Research on Cloud Removal from Landsat TM Image based on Spatial and Temporal Data Fusion Model. Remote Sensing Technology and Application, 2015, 30(2): 312-320.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2015.2.0312     OR     http://www.rsta.ac.cn/EN/Y2015/V30/I2/312

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