CALIBRATION OF COMPLEX POLARIMETRIC SAR IMAGERY USING BACKSCATTER CORRELATIONS

被引：59
|
作者：
KLEIN, JD
机构：
[1] Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, M.S. 300-235, 4800 Oak Grove Dr
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1992年 / 28卷 / 01期
关键词：
D O I：
10.1109/7.135444
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A new technique for calibration of multipolarization synthetic aperture radar (SAR) imagery is described. If scatterer reciprocity and lack of correlation between co- and cross-polarized radar echoes (for azimuthally symmetric distributed targets) is assumed, the effects of signal leakage between the radar data channels can be removed without the use of known ground targets. If known targets are available, all data channels may be calibrated relative to one another and radiometrically as well The method is verified with simulations and application to airborne SAR data.
引用
收藏
页码：183 / 194
页数：12
相关论文
共 50 条
  • [41] A Review of Crop Classification Using Satellite-Based Polarimetric SAR Imagery
    Sun, Zheng
    Wang, Di
    Zhong, Geji
    2018 7TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2018, : 337 - 341
  • [42] Oil spill detection on the ocean surface using hybrid polarimetric SAR imagery
    LI HaiYan
    PERRIE William
    ZHOU YuanZe
    HE YiJun
    Science China(Earth Sciences), 2016, 59 (02) : 249 - 257
  • [43] Oil spill detection on the ocean surface using hybrid polarimetric SAR imagery
    HaiYan Li
    William Perrie
    YuanZe Zhou
    YiJun He
    Science China Earth Sciences, 2016, 59 : 249 - 257
  • [44] Oil spill detection on the ocean surface using hybrid polarimetric SAR imagery
    Li HaiYan
    Perrie William
    Zhou YuanZe
    He YiJun
    SCIENCE CHINA-EARTH SCIENCES, 2016, 59 (02) : 249 - 257
  • [45] Classification of multifrequency polarimetric SAR imagery using a dynamic learning neural network
    Chen, KS
    Huang, WP
    Tsay, DH
    Amar, F
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (03): : 814 - 820
  • [46] SUPERPIXEL-BASED CLASSIFICATION USING SEMANTIC INFORMATION FOR POLARIMETRIC SAR IMAGERY
    Yang, Shuai
    Zhang, Qianqian
    Yuan, Xiaohui
    Chen, Qihao
    Liu, Xiuguo
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 3700 - 3703
  • [47] Information compression and speckle reduction for multifrequency polarimetric SAR imagery using KPCA
    Li, Ying
    Lei, Xiao-Gang
    Bai, Ben-Du
    Mang, Yan-Ning
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1688 - 1692
  • [48] Unsupervised classification of SAR imagery using polarimetric decomposition to preserve scattering characteristics
    Marapareddy, Ramakalavathi
    Aanstoos, James V.
    Younan, Nicolas H.
    2015 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2015,
  • [49] Detail-preserving segmentation of polarimetric SAR imagery
    Andreadis, A
    Benelli, G
    Garzelli, A
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 377 - 379
  • [50] Extraction of Urban Areas From Polarimetric SAR Imagery
    Azmedroub, Boussad
    Ouarzeddine, Mounira
    Souissi, Boularbah
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (06) : 2583 - 2591
12345