Forest Height Estimation Using PolInSAR Optimal Normal Matrix Constraint and Cross-Iteration Method
Forest Height Estimation Using PolInSAR Optimal Normal Matrix Constraint and Cross-Iteration Method
复制标题
使用PolInSAR最优正态矩阵约束和交叉迭代方法估计森林高度
DOI：
10.1109/lgrs.2019.2895869
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发表时间：
2019-02
影响因子：
4.8
通讯作者：
Gao Han
中科院分区：
文献类型：
--
作者：
Wu Chuanjun;Wang Changcheng;Shen Peng;Zhu Jianjun;Fu Haiqiang;Gao Han
A novel method based on the optimal normal matrix constraint and cross-iteration algorithm is proposed in this letter to estimate the forest height using the polarimetric interferometry synthetic aperture radar (PolInSAR) data. First, to avoid the null ground-to-volume ratio assumption of the three-stage method, we use the PolInSAR optimal normal matrix constraint method to find out the pure volume coherence. This method can also provide a more accurate initial value for the least-squares iteration. Second, the cross-iteration is used for the forest height inversion, which provides better selection of the best polarization channel and solves the ill-conditioned matrix in the traditional least-squares iteration algorithm. This new method is validated using the BioSAR 2008 P-band data. The results show that the proposed method achieves an average accuracy of 2.6 m, which is better than that of the three-stage inversion method [root-mean-square error (RMSE) = 5.89 m] and the 6-D nonlinear iteration method (RMSE = 4.42 m).
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DOI：
10.1136/bmj.323.7325.1375/a
发表时间：
2001-12
期刊：
BMJ : British Medical Journal
影响因子：
--
作者：
K. Barraclough
通讯作者：
K. Barraclough
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影响因子：
2.9
作者：
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通讯作者：
Shen Peng
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2012
期刊：
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影响因子：
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作者：
W. Marsden
通讯作者：
W. Marsden
影响因子：
8.2
作者：
Yi Cui;Y. Yamaguchi;Hiroyoshi Yamada;Sang-Eun Park
通讯作者：
Yi Cui;Y. Yamaguchi;Hiroyoshi Yamada;Sang-Eun Park
DOI：
10.1109/tgrs.2014.2352555
发表时间：
2015-04-01
影响因子：
8.2
作者：
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通讯作者：
Jaeger, Marc