Please wait a minute...
img

官方微信

遥感技术与应用  2016, Vol. 31 Issue (5): 907-911    DOI: 10.11873/j.issn.1004-0323.2016.5.0907
微波遥感专栏     
基于散射计波浪参数反演模型的改进算法实验
过杰1,何宜军2,张彪2,Vladimir Yurjevich Karaev3,M.A.Panfilova3,Yuriy Titchenko3
(1.中国科学院烟台海岸带研究所山东省海岸带环境过程重点实验室,山东 烟台 264003;
2.南京信息工程大学海洋科学学院,江苏 南京 210044;
3.Department of Hydrophysics,Institute of Applied Physics,Russian Academy of Science
Nizhny Novgorod,Russia,46603950)
Based on Wave Parameters Inversion Model Experiment by Scatterometer Data Improved Dlgorithm
Guo Jie1,He Yijun2,Zhang Biao2,Vladimir Yurjevich Karaev3,M.A.Panfilova3,V.Yuriy Titchenko3
(1.Shandong Provincial Key Laboratory of Coastal Environmental Processes,Yantai Institute of
Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003,China;
2.School of Marine Sciences,Nanjing University of Information
Science & Technology,Nanjing 210044,China;
3.Department of Hydrophysics,Institute of Applied Physics,Russian Academy
of Science,Nizhny Novgorod,Russia,46603950)
 全文: PDF(1501 KB)  
摘要:

一种新的利用散射计(ERS1/2)数据反演有效波高和平均周期的模式被提出。 通过俄罗斯学者利用浮标数据建立完全成长风浪条件下有效波高与风速之间的关系,与匹配浮标观测的有效波高数据对比,区分完全成长风浪、成长风浪和涌浪3种海况下的匹配数据;利用BP神经网络建立模式反演3种海况下的有效波高,均方根误差分别为0.53、0.57和0.86 m,反演平均周期均方根误差分别为0.69、1.04和1.36 s。这种反演方法在完全成长风浪海况下最好,依次是成长风浪和涌浪海况。该研究为散射计数据反演波浪参数提供了依据,使大面积反演波浪参数成为可能。

关键词: 有效波高平均周期BP神经网络散射计(ERS1/2)数据浮标数据    
Abstract:

A new model is proposed to estimate the significant wave height and average period with ERS-1/2 scatterometer data.The relationship between the wind speed and significant wave height in full developing wind\|wave domination is established by Russian scholars.Through this formula,the data that based on the ERS1/2 data and the NDBC buoys data matching were distinguished into three states:developing wind\|wave,full developing wind\|wave and swell wave,respectively.The significant wave heights and average period are retrieved by Back Propagation neural network,the root mean square is 0.53,0.57,0.90 m and 0.69 s,1.04 s,1.36 s in three states,respectively.This method inversion significant wave height and period is found that the full developing wind\|wave domination is best effect,in turn,is the developing wind\|wave,the last is swell wave.The study provides the basis for scatterometer data inversion of wave parameters.It makes the biggest possible inversion wave parameters in large area.

 

Key words: Significant wave height    Average period    Back Propagation(BP) neural network    ERS1/2 data    Buoys data
收稿日期: 2015-09-28 出版日期: 2016-11-25
:  TP 79  
基金资助:

中国科学院与乌俄白国际合作项目“理论数字模拟海况对散射计海面风场反演精度的影响”(Y429011031),国家自然科学基金委员会与俄罗斯基础研究基金会合作交流项目“利用SAR数据分析关于雷达后向散射及风场反演的影响因子”(4141101049),国家自然科学基金委面上项目“多波段极化合成孔径雷达岸高风场反演研究”(41176160)。

作者简介: 过杰(1965-),女,河南开封人,副研究员,主要从事海洋微波遥感及应用研究。Email:jguo@yic.ac.cn。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
过杰
何宜军
张彪
Vladimir Yurjevich Karaev
M.A.Panfilova
Yuriy Titchenko

引用本文:

过杰,何宜军,张彪,Vladimir Yurjevich Karaev,M.A.Panfilova,Yuriy Titchenko. 基于散射计波浪参数反演模型的改进算法实验[J]. 遥感技术与应用, 2016, 31(5): 907-911.

Guo Jie,He Yijun,Zhang Biao,Vladimir Yurjevich Karaev,M.A.Panfilova,V.Yuriy Titchenko. Based on Wave Parameters Inversion Model Experiment by Scatterometer Data Improved Dlgorithm. Remote Sensing Technology and Application, 2016, 31(5): 907-911.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.5.0907        http://www.rsta.ac.cn/CN/Y2016/V31/I5/907

[1]Hwang P A,Teague W J,Jacobs G A,et a.A Statistical Comparison of Wind Speed,Wave Height,and Wave Period Derived from Satellite Altimeters and Ocean Buoys in the Gulf of Mexico Region[J].Journal of Geophysical Research (Atmospheres),1998,103(C5):10451-10468.

[2]Tran N,Chapron B,Vandemark D.Effect of Long Waves on Ku-band Ocean Radar Backscatter at Low Incidence Angles Using TRMM and Altimeter Data[J].IEEE Geoscience and Remote Sensing Letters,2007,4(4):542-546.

[3]Durden S L,Vesecky J F.A Physical Radar Cross-section Model for a Wind-driven Sea with Swell[J].IEEE Journal of Oceanic Engineering,1985,10(4):445-451.

[4]Quilfen Y,Chapron B.Relationship between ERS Scatterometer Measurement and Integrated Wind and Wave Parameters[J].Journal of Atmospheric and Oceanic Technology,2003,21,368-373.

[5]Guo Jie,He Yijun,Chu Xiaoqing,et al.Wave Parameters Retrieved from QuikSCAT Data[J].Canadian Journal of Remote Sensing,2009,35:345-351.

[6]Guo J,He Y J,Perrie W,et al.Significant Wave Heights Estimated from ERS-1/2 Scatterometer Data[J].Chinese Journal of Oceanology and Limnology,2009,27:123-127.

[7]Karaev V Y,Meshkov E M.Features of Sea Wave Classification in Problems of Remote Sensing[J].Izvestiya,Atmospheric and Oceanic Physics,2013,49(9):919-929.

[8]Panfilova M,Karaev V,Guo J.Slope Variance Obtaining from Buoy Data and Validation by TOPEX/POSEIDON Measurements[J].IEEE Radio and Antenna Days of the Indian Ocean,2015,DOI:10.1109/RADIO.2015.7323371.

[1] 汪子豪,秦其明,孙元亨. 基于BP神经网络的地表温度空间降尺度方法[J]. 遥感技术与应用, 2018, 33(5): 793-802.
[2] 杨朦朦,汪汇兵,欧阳斯达,范奎奎,戚凯丽. 基于双树复小波分解的BP神经网络遥感影像分类[J]. 遥感技术与应用, 2018, 33(2): 313-320.
[3] 苗洪利,张国首,王桂忠,郭迎婷,荆玉洁,张 杰. HY-2高度计海况偏差非参数估计模型研究[J]. 遥感技术与应用, 2016, 31(6): 1031-1036.
[4] 张国首,苗洪利,王桂忠,郭迎婷,荆玉洁,张杰. 雷达高度计海况偏差估计不同纬度区间参数模型研究[J]. 遥感技术与应用, 2016, 31(6): 1054-1058.
[5] 郎姝燕,林文明,鲍青柳,张有广. 星载散射计再分析风场在海浪模拟中的应用研究[J]. 遥感技术与应用, 2016, 31(6): 1069-1074.
[6] 叶小敏,林明森,宋庆君. 基于现场观测数据的卫星雷达高度计海面风速和有效波高真实性检验方法研究[J]. 遥感技术与应用, 2014, 29(1): 26-32.
[7] 陈涛, 牛瑞卿, 李平湘, 张良培. 基于人工神经网络的植被覆盖遥感反演方法研究[J]. 遥感技术与应用, 2010, 25(1): 24-30.
[8] 陈 雯,王远飞. 基于GA—BP算法的多分辨率遥感影像融合技术[J]. 遥感技术与应用, 2007, 22(4): 555-559.
[9] 赵丙义. 海洋卫星高度计及其技术问题的考虑[J]. 遥感技术与应用, 1991, 6(4): 1-9.