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| 散射计资料的风场神经网络反演算法研究 | |
| 引用本文： | 林明森,宋新改,彭海龙,冯倩.散射计资料的风场神经网络反演算法研究[J].国土资源遥感,2006(2):8-11,i0004. |
| 作者姓名： | 林明森 宋新改 彭海龙 冯倩 |
| 作者单位： | 1. 国家卫星海洋应用中心,北京,100081;国家海洋局第三海洋研究所,厦门,361005 2. 中国海洋大学,青岛,266003;国家卫星海洋应用中心,北京,100081 3. 国家卫星海洋应用中心,北京,100081 |
| 基金项目： | 863计划资助项目(2004AA639850) |
| 摘 要： | 建立一种神经网络反演海面风场的算法。该算法以ERS_1/2散射计数据和欧洲中期预报分析风场(ECM-WF)的配准点数据作为神经网络训练和检验数据集。研究表明,该算法具有运行速度快和精度高等特点,反演的风速和风向与C波段第4模型(COMD 4)和ECMWF吻合较好。 |
| 关 键 词： | BP网络 散射计 风场反演 模糊消除 |
| 文章编号： | 1001-070X（2006）02-0008-04 |
| 收稿时间： | 2006-03-10 |
| 修稿时间： | 2006-03-102006-03-24 |
NEURAL NETWORK WIND RETRIEVAL FROM SCATTEROMETER DATA |
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| LIN Ming-sen,SONG Xin-gai,PENG Hai-long,FEN Qian.NEURAL NETWORK WIND RETRIEVAL FROM SCATTEROMETER DATA[J].Remote Sensing for Land & Resources,2006(2):8-11,i0004. | |
| Authors: | LIN Ming-sen SONG Xin-gai PENG Hai-long FEN Qian |
| Institution: | 1. National Satellite Ocean Application Service, Beijing 100081, China; 2. Ocean University of China, China; 3. The Third Istitute of Oceanography, SAO,Xiamen 361005, China |
| Abstract: | This paper presents a neural network method for retrieving wind vectors from ERS-1/2 scatterometer data,which resolves wind directional ambiguities for scatterometer derived winds by a circular median filter algorithm.Learning data set and test data set come from ERS-1/2 scatterometer data collocated pairs with ECMWF vectors.A comparison with COMD4 and ECMWF wind vector shows that the result is good and the performance is quicker than any other methods.The good performance of the neural network method suggests the possibility of wind retrieval from ERS-1/2 scatterometer. |
| Keywords: | BP-NN Scatterometer Winds retrieval Wind directional ambiguities |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |