An Improved Semi-Empirical Model for Radar Backscattering from Rough Sea Surfaces at X-Band

被引:5
|
作者
Jin, Taekyeong [1 ]
Oh, Yisok [1 ]
机构
[1] Hongik Univ, Dept Elect & Elect Engn, Seoul, South Korea
来源
基金
新加坡国家研究基金会;
关键词
Radar Backscattering; Rough Sea Surfaces; Small-Roughness Parameters; Wind Speeds;
D O I
10.26866/jees.2018.18.2.136
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose an improved semi-empirical scattering model for X-band radar backscattering from rough sea surfaces. This new model has a wider validity range of wind speeds than does the existing semi-empirical sea spectrum (SESS) model. First, we retrieved the small-roughness parameters from the sea surfaces, which were numerically generated using the Pierson-Moskowitz spectrum and measurement datasets for various wind speeds. Then, we computed the backscattering coefficients of the small-roughness surfaces for various wind speeds using the integral equation method model. Finally, the large-roughness characteristics were taken into account by integrating the small-roughness backscattering coefficients multiplying them with the surface slope probability density function for all possible surface slopes. The new model includes a wind speed range below 3.46 m/s, which was not covered by the existing SESS model. The accuracy of the new model was verified with two measurement datasets for various wind speeds from 0.5 m/s to 14 m/s.
引用
收藏
页码:136 / 140
页数:5
相关论文
共 50 条
  • [1] A L-BAND SEMI-EMPIRICAL OCEAN BACKSCATTERING MODEL
    Du, Yanlei
    Yang, Xiaofeng
    Chen, Kun-Shan
    Li, Ziwei
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4915 - 4918
  • [2] Research on Semi-empirical Model for Backscattering Coefficient of Sea Clutter
    Wu Geng-kun
    Ji Guang-rong
    Ren Hong-xia
    MECHANICAL AND ELECTRONICS ENGINEERING VI, 2014, 654 : 300 - 303
  • [3] EXPERIMENTAL-STUDY ON NONSTATIONARY X-BAND AND Q-BAND RADAR BACKSCATTERING FROM THE SEA-SURFACE
    ATANASSOV, VB
    BALAN, MG
    HAIMOV, SJ
    KULEMIN, GP
    MICHALEV, MA
    MLADENOV, LH
    PEDENKO, YA
    RAZSKAZOVSKY, VB
    SAVCHENKO, AK
    VASILEV, VL
    IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1990, 137 (02) : 118 - 124
  • [4] Analysis of sea waves and wind from X-band radar
    Izquierdo, P
    Soares, CG
    OCEAN ENGINEERING, 2005, 32 (11-12) : 1404 - 1419
  • [5] An Improved Spectrum Model for Sea Surface Radar Backscattering at L-Band
    Du, Yanlei
    Yang, Xiaofeng
    Chen, Kun-Shan
    Ma, Wentao
    Li, Ziwei
    REMOTE SENSING, 2017, 9 (08):
  • [6] BUILDING BLOCKS FOR SEMI-EMPIRICAL MODELS FOR FOREST PARAMETER EXTRACTION FROM INTERFEROMETRIC X-BAND SAR IMAGES
    Praks, Jaan
    Olesk, Aire
    Voormansik, Kaupo
    Antropov, Oleg
    Zalite, Karlis
    Noorma, Mart
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 736 - 739
  • [7] Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements
    Baghdadi, N
    Gherboudj, I
    Zribi, M
    Sahebi, M
    King, C
    Bonn, F
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (18) : 3593 - 3623
  • [8] An Empirical Model of Shape Parameter of Sea Clutter Based on X-Band Island-Based Radar Database
    Xia, Xiao-Yun
    Shui, Peng-Lang
    Zhang, Yu-Shi
    Li, Xin
    Xu, Xin-Yu
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [9] Semi-empirical model of the ensemble-averaged differential Mueller matrix for microwave backscattering from bare soil surfaces
    Oh, Y
    Sarabandi, K
    Ulaby, FT
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (06): : 1348 - 1355
  • [10] The use of a semi-empirical emissivity model for a rough estimation of sea surface salinity from an airborne microwave radiometer
    Gabarro, Carolina
    Font, Jordi
    Miller, Jerry
    Camps, Adriano
    Burrage, Derek
    Wesson, Joe
    Piola, Alberto R.
    SCIENTIA MARINA, 2008, 72 (02) : 329 - 336