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- W2913397624 abstract "The geometric correction is a bottleneck problem which baffles the remote sensing images' application.Geometric rectification is a nonlinear,uncertain,complex dynamic function and hard to be described completely,so a method of remote sensing image geometric correction based on the RBF neural networks and Ground Control Point(GCP) is made in this paper.Firstly,the algorithm determines the control point used to correct.Then,use the characteristic of RBF neural network can represent all functions at any accuracy to simulated surface of this complex spatial distribution function of the nonlinear.From the experimental results,it comes to some conclusions: The algorithm's principle is simple,and easy to be realized.Usually,the algorithm has an error less than one-pixel,which is accurate enough for geometric correction.It is a kind of more practical algorithm of the remote sensing image correction." @default.
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- W2913397624 date "2006-01-01" @default.
- W2913397624 modified "2023-09-25" @default.
- W2913397624 title "Image Correction Using Interpolation Function" @default.
- W2913397624 doi "https://doi.org/10.11873/j.issn.1004-0323.2006.6.552" @default.
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