Monitoring crop cycles by SAR using a neural network trained by a model

被引：0
|
作者：
Del Frate, F [1 ]
Ferrazzoli, P [1 ]
Guerriero, L [1 ]
Strozzi, T [1 ]
Wegmüller, U [1 ]
Cookmartin, G [1 ]
Quegan, S [1 ]
机构：
[1] Univ Tor Vergata Ingn, DISP, I-00133 Rome, Italy
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON RETRIEVAL OF BIO- AND GEOPHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS | 2002年 / 475卷
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
An algorithm, based on an electromagnetic model and a neural network, aimed at monitoring the multitemporal evolution of wheat fields, is described. Three different sites are used to validate the model, provide reference ground data, and test the algorithm.
引用
收藏
页码：239 / 244
页数：6
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