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A new method based on the BP neural network to improve the accuracy of inversion of the vegetation height

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4 Author(s)
Li Tingwei ; Coll. of Electron., Nat. Univ. of Defense Technol., Changsha, China ; Liang Diannong ; Huang HaiFeng ; Zhu Jubo

The error in the estimation of the ground interferometric phase will reduce the accuracy of the inversion of the vegetation height in three-stage vegetation inversion method. Aiming at this problem, the new vegetation height inversion method based on the BP neural network is proposed. The new method directly fits the nonlinear mapping relationship between the complex correction coefficients and the vegetation height, so it reduces the height inversion error caused by the error in the estimated ground interferometric phase. The new method has better performance than the three-stage vegetation height inversion method, and the experiment results validate the superiority of the new method.

Published in:

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Date of Conference:

9-11 April 2010