EXTENSION OF THE TARGET SCATTERING VECTOR MODEL TO THE BISTATIC CASE

被引:6
|
作者
Bombrun, Lionel [1 ]
机构
[1] Grenoble INP, CNRS GIPSA Lab DIS SIGMAPHY, Grenoble Image sPeech Signal Automat Lab, F-38402 St Martin Dheres, France
关键词
Bistatic Polarimetry; Polarimetric Synthetic Aperture Radar; Roll-invariant decomposition; Target Scattering Vector Model;
D O I
10.1109/IGARSS.2010.5653280
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The polarimetric information has been widely used to interpret the Synthetic Aperture Radar (SAR) scene. Hence, many decompositions have been introduced to extract polarimetric parameters with a physical meaning. Nevertheless, for most of them, the reciprocity assumption is assumed. For a bistatic PolSAR sensor, the cross-polarization terms of the scattering matrix are not equal. This paper presents a generalization of the Target Scattering Vector Model (TSVM) to the bistatic case.
引用
收藏
页码:4047 / 4050
页数:4
相关论文
共 50 条
  • [21] Bistatic scattering centres of cone-shaped targets and target length estimation
    Ai XiaoFeng
    Zou XiaoHai
    Li YongZhen
    Yang JianHua
    Xiao ShunPing
    SCIENCE CHINA-INFORMATION SCIENCES, 2012, 55 (12) : 2888 - 2898
  • [22] Statistical characteristics of target location finding error in bistatic forward scattering radars
    Kovalev A.N.
    Kovalev F.N.
    Radioelectronics and Communications Systems, 2014, 57 (03) : 107 - 112
  • [23] Two bistatic target signatures: The bistatic equations and the bistatic polarisation fork
    Germond, AL
    Pottier, E
    Saillard, J
    MIKON-98: 12TH INTERNATIONAL CONFERENCE ON MICROWAVES & RADAR, VOLS 1-4, 1998, : 123 - 127
  • [24] An Extension of the Vector-Play Model to the Case of Magneto-Elastic Loadings
    Da Silva, Luiz Guilherme
    Abderahmane, Abdellahi
    Domenjoud, Mathieu
    Bernard, Laurent
    Daniel, Laurent
    IEEE ACCESS, 2022, 10 : 126674 - 126686
  • [25] Dynamic extension of vector Preisach model
    Kuczmann, Miklos
    PHYSICA B-CONDENSED MATTER, 2018, 549 : 47 - 52
  • [26] Performance Enhancement of Target Recognition Using Feature Vector Fusion of Monostatic and Bistatic Radar
    Lee, Seung-Jae
    Choi, In-Sik
    Cho, Byung-Lae
    Rothwell, Edward J.
    Temme, Andrew K.
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2014, 144 : 291 - 302
  • [27] Model analysis of bistatic scattering from randomly rough surfaces
    Chen, Kunshan
    Li, Zhaoliang
    Liu, Yu
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2015, 41 (10): : 1765 - 1776
  • [28] An improved IEM model for bistatic scattering from rough surfaces
    Fung, AK
    Liu, WY
    Chen, KS
    Tsay, MK
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2002, 16 (05) : 689 - 702
  • [29] Coherent multi-target localization for bistatic MIMO radar based on vector reconstruction
    Zheng, Z.-D. (focusdong@yahoo.cn), 1600, Chinese Institute of Electronics (35):
  • [30] A two-scale model for the ocean surface bistatic scattering
    Soriano, G
    Saillard, A
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 4147 - 4149