Neural network wind retrieval from ERS-1/2 scatterometer data

被引：0
|
作者：
LIN Mingsen 1*
机构：
来源：
Acta Oceanologica Sinica | 2006年 / 03期
关键词：
BP-NN; scatterometer; wind fields; retrieval; disambiguate;
D O I：
暂无
中图分类号：
TH74 [光学仪器];
学科分类号：
0803 ;
摘要：
A neural network methodology is presented to retrieve wind vectors from ERS-1/2 scatterometer data. The wind directional ambiguities are eliminated by a circular median filter algorithm. All data come from ERS-1/2 scatterometer data collocated pairs with CMCD4 vector. Comparing the results with CMCD4 and ECMWF wind vector,they agree well, which indicates that it is possible to extract wind vector from the ERS1/2 scatterometer with the neural network method.
引用
收藏
页码：35 / 39
页数：5
相关论文
共 50 条
  • [31] Ice classification in the Southern Ocean using ERS-1 scatterometer data
    Early, DS
    Long, DG
    [J]. IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT, 1997, : 1838 - 1840
  • [32] A new model to estimate significant wave heights with ERS-1/2 scatterometer data
    Jie Guo
    Yijun He
    William Perrie
    Hui Shen
    Xiaoqing Chu
    [J]. Chinese Journal of Oceanology and Limnology, 2009, 27 : 112 - 116
  • [33] Katabatic wind propagation over the western Ross Sea observed using ERS-1 scatterometer data
    Marshall, GJ
    Turner, J
    [J]. ANTARCTIC SCIENCE, 1997, 9 (02) : 221 - 226
  • [34] THE ERS-1 SYNTHETIC APERTURE RADAR AND SCATTEROMETER
    BROOKS, SR
    JOYCE, H
    SAWYER, FG
    SMITH, DJ
    [J]. GEC JOURNAL OF RESEARCH, 1985, 3 (02): : 124 - 136
  • [35] A new model to estimate significant wave heights with ERS-1/2 scatterometer data
    过杰
    何宜军
    William Perrie
    申辉
    储小青
    [J]. Chinese Journal of Oceanology and Limnology., 2009, 27 (01) - 116
  • [36] ERS-1 scatterometer measurements - Part II: An algorithm for ocean-surface wind retrieval including light winds
    Rufenach, CL
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (02): : 623 - 635
  • [37] The ERS-1 and ERS-2 wind scatterometers, system performance and data products
    Attema, EPW
    Lecomte, P
    [J]. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1967 - 1969
  • [38] Determination of the geophysical model function of the ERS-1 scatterometer by the use of neural networks
    Mejia, C
    Thiria, S
    Tran, N
    Crepon, M
    Badran, F
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C6): : 12853 - 12868
  • [39] A neural network-based model for estimating the wind vector using ERS scatterometer data
    Kasilingam, D
    Lin, II
    Khoo, V
    Hock, L
    [J]. IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT, 1997, : 1850 - 1852
  • [40] Simultaneous wind and rain retrieval for ERS scatterometer measurements
    Nie, Congling
    Long, David G.
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 4455 - 4458
12345