STUDY ON THE IMPACT OF POLARIMETRIC CALIBRATION ERRORS ON TERRAIN CLASSIFICATION WITH POLINSAR

被引:2
|
作者
Xu, LiYing [1 ]
Li, Wei [1 ]
Cui, Lei [1 ]
Tong, Qingwei [1 ]
Chen, Junli [1 ]
机构
[1] Shanghai Inst Satellite Engn, Shanghai 201109, Peoples R China
关键词
PolInSAR; System analysis and design; Terrain classification;
D O I
10.1109/IGARSS.2016.7730232
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
Polarimetric synthetic aperture radar (SAR) Interferometry (PolInSAR) becomes a hot topic in SAR application areas, such as terrain classification. However, the system parameter design is mostly based on traditional Polarimetric SAR (PolSAR) or interferometric SAR (InSAR) methods. The accuracy of polarimetric calibration is the major factor for the PolInSAR system design, so it is necessary to analyze the affect of polarimatric calibration errors on terrain classification accuracy. In this paper, error transfer link of typical classification algorithm is investigated, then, the minimum requirements on polarimetric distortions including channel imbalance and crosstalk are investigated for terrain classification application for the first time. The result is verified by E-SAR datasets, which can provide the important theoretical basis and reference for quantitative calibration requirements of classification accuracy.
引用
收藏
页码:4722 / 4725
页数:4
相关论文
共 50 条
  • [31] OPTICAL AND POLARIMETRIC SAR DATA FUSION TERRAIN CLASSIFICATION USING PROBABILISTIC FEATURE FUSION
    West, R. Derek
    Yocky, David A.
    Redman, Brian J.
    van der Laan, John D.
    Anderson, Dylan Z.
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2097 - 2100
  • [32] LAND COVER CLASSIFICATION USING RADIOMETRIC-TERRAIN-CALIBRATED POLARIMETRIC SAR IMAGES
    Xu, Jinyan
    Liao, Mingsheng
    Zhang, Lu
    Yang, Xinwei
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4710 - 4713
  • [33] Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
    Ahishali, Mete
    Ince, Turker
    Kiranyaz, Serkan
    Gabbouj, Moncef
    2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS-SPRING), 2019, : 2317 - 2324
  • [34] Speckle filtering influence on unsupervised terrain classification based on polarimetric scattering mechanisms.
    Rodionova, NV
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 498 - 501
  • [35] Optimal multi-look polarimetric speckle reduction and its effect on terrain classification
    Liu, GQ
    Huang, SJ
    Torre, A
    Rubertone, F
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 1571 - 1573
  • [36] Polarimetric SAR speckle filtering and its impact on classification
    Lee, JS
    Grunes, MR
    DeGrandi, G
    IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT, 1997, : 1038 - 1040
  • [37] Feasibility study on polarimetric use and calibration of ALOS/PALSAR
    Kimura, H
    Mizuno, T
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 387 - 389
  • [38] Study on Moisture Effects on Polarimetric Radar Backscatter from Forested Terrain
    Watanabe, Takuma
    Yamada, Hiroyoshi
    Arii, Motofumi
    Sato, Ryoichi
    Park, Sang-Eun
    Yamaguchi, Yoshio
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2014, E97B (10): : 2074 - 2082
  • [39] Terrain classification based on spatial multi-attribute graph using Polarimetric SAR data
    Liu, Hongying
    Yang, Shuyuan
    Gou, Shuiping
    Liu, Shuai
    Jiao, Licheng
    APPLIED SOFT COMPUTING, 2018, 68 : 24 - 38
  • [40] A Novel Multi-Feature Joint Learning Method for Fast Polarimetric SAR Terrain Classification
    Shi, Junfei
    Jin, Haiyan
    Li, Xiaohua
    IEEE ACCESS, 2020, 8 : 30491 - 30503