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Remote Sensing Technology and Application  2011, Vol. 26 Issue (2): 226-232    DOI: 10.11873/j.issn.1004-0323.2011.2.226
article     
Simulation Analysis of GCP Residuals in the Remote Sensing Image Registration
WANG Jiang-hao1,2,GE Yong1
(1.State Key Laboratory of Resources and Environment Information System,Institute of Geographic
Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China; 
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

Prior to multiple\|sources remote sensing data analysis and applications,a quality assessment of geometric correction or registration is needed.Traditional position accuracy assessment is root\|mean\|square error (RMSE),which is easy to calculate.However,it can not describe the spatial distribution characteristics of GCP residuals after geometric correction or registration.In this paper,cross validation is employed here to overcome traditional RMSE limitations.Furthermore,to assess the spatial characteristics of GCP residuals,Moran's I is adopted to test the spatial independent of GCP residuals,and standard deviational ellipse is introduced to measure the distribution trend and investigated the spatial isotropy or anisotropy for a set of GCP residuals points.Simulation experiments show that with the aid of those measurements,it can be insight into the principle of transformation function and help users to select an appropriate correction model to improve both accuracy of remote sensing image geometric correction.

Key words:  Cross validation      Morans I      Standard deviational ellipse      Residual analysis      Geometric correction     
Received:  10 September 2010      Published:  25 July 2011
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Cite this article: 

WANG Jiang-hao,GE Yong. Simulation Analysis of GCP Residuals in the Remote Sensing Image Registration. Remote Sensing Technology and Application, 2011, 26(2): 226-232.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2011.2.226     OR     http://www.rsta.ac.cn/EN/Y2011/V26/I2/226

[1]Ge Y,Liang Y,Ma J H,et al.Modeling for Registration of Remotely Sensed Imagery when Reference Control Points Contain Error[J].Science in China Series D:Earth Sciences,2006,49(7):739-746.


[2]Foody G M.Status of Land Cover Classification Accuracy Assessment[J].Remote Sensing of Environment,2002,80(1):185-201.


[3]Cressie N A C.Statistics for Spatial Data[M].New York:John Wiley,1991.


[4]Buiten H J,Putten B V.Quality Assessment of Remote Sensing Image Registration\|Analysis and Testing of Control Point Residuals[J].ISPRS Journal of Photogrammetry and Remote Sensing,1997,52(2):57-73.


[5]Carlos V,Giuliano M,Dalto R,et al.Visualizing Positional Uncertainties of Geometric Corrected Remote Sensing Images[C]//Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences,Shanghai,China,2008:327-334.


[6]Armston J D,Danaher T J,Goulevitch B M,et al.Geometric Correction of Landsat MSS,TM,and ETM+ Imagery for Mapping of Woody Vegetation Cover and Change Detection[C]//Queensland Proceedings 11th Australasian Remote Sensing and Photogrammetry Conference,Brisbane,2002.


[7]Glasbey C A,Mardia K V.A Review of Image\|warping Methods[J].Journal of Applied Statistics,1998,25(2):155-171.


[8]Toutin T.Geometric Processing of Remote Sensing Images:Models,Algorithms and Methods[J].International Journal of Remote Sensing,2004,25(10):1893-1924.


[9]Brovelli M A,Crespi M,Fratarcangeli F,et al.Accuracy Assessment of High Resolution Satellite Imagery Orientation by Leave\|one\|out Method[J].ISPRS Journal of Photogrammetry and Remote Sensing,2008,63(4):427-440.


[10]Moran P A P.The Interpretation of Statistical Maps[J].Journal of the Royal Statistical Society Series B\|Statistical Methodology,1948,10:243-251.

 

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