Sunflower biomass estimation using a scattering model and a neural network algorithm

被引：29
|
作者：
Del Frate, F
Wang, LF
机构：
[1] Univ Roma Tor Vergata, Fac Ingn, Dipartimento Informat Sistemi & Prod, I-00133 Rome, Italy
[2] MIT, Elect Res Lab, Cambridge, MA 02139 USA
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2001年 / 22卷 / 07期
关键词：
D O I：
10.1080/01431160151144323
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Inversion of biomass for sunflower fields using radar backscattering data has been carried out with neural network algorithms. An electromagnetic model is used to generate the scattering coefficients for training and testing of the net. The model is validated with experimental data obtained from the Montespertoli test site during the Remote Sensing Campaign Mac-Europe 91. The inversion results show that the neural network is capable of performing the retrieval with good accuracy. By optimizing the structural complexity of the net, a better inversion result is obtained.
引用
收藏
页码：1235 / 1244
页数：10
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