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《Journal of Geodesy and Geodynamics》 2008-05
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ON SRTM VOID AREA DATA FILLING METHOD BASED ON BP NETWORK

Zhang Shoujian1),Li Jiancheng1),Wang Zhengtao1) and Xing Lelin1,2) 1) School of Geodesy and Geomatics,Wuhan University,Wuhan 4300792) Institute of Seismology,CEA,Wuhan 430071  
Owing to the non-linear characteristic of the topographic data,the interpolation method with linear function such as TIN can not reach high accuracy.We analyzed the interpolated accuracy with the neural network method in the SRTM void data filling,thus any non-linear function can be approached more precisely.The analysis demonstrates that the accuracy of the neural network improves 6.3 m as comparing to the TIN method,and the contour line trends with the neural network method are smoother than that with the TIN method.
【Fund】: 国家自然科学基金(40704004 40637034)
【CateGory Index】: P207.1
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