A comparative study on the current de-speckle methods for polarimetric synthetic aperture radar imagery processing

被引:0
|
作者
Xu, Zhijia [1 ]
Sun, Sheng [2 ]
Yang, Changcai [3 ]
Zhang, Xiaobo [4 ]
机构
[1] Guiyang Univ, Sch Mech Engn, Guiyang 550005, Guizhou, Peoples R China
[2] Guangdong Univ Technol, Sch Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
[3] Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China
[4] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
来源
MIPPR 2015: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS | 2015年 / 9815卷
关键词
Speckle; polarimetric synthetic aperture radar; speckle filtering; polarimetric properties;
D O I
10.1117/12.2205580
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Speckle filtering seems to be a never-ending topic for polarimetric synthetic aperture radar imagery processing. Constantly emerging literatures demonstrate that this issue deserves further research effort, especially in the context of much more high spatial resolution. A comparative study will be performed in this paper for recently proposed method such as non-local SAR speckle filtering, Extended Sigma filter proposed by Lee, non-local means filter, Bilateral filter, and so on. Their performance on spatial details preserving and polarimetric properties preserving should be measured thoroughly. Further more the computing performance on large-scale dataset should also be measured.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] RAPID GENERATION OF FLOOD MAPS USING DUAL-POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
    Jo, MinJeong
    Osmanoglu, Batuhan
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9764 - 9767
  • [32] Hierarchical ship detection and recognition with high-resolution polarimetric synthetic aperture radar imagery
    Lang, Haitao
    Zhang, Jie
    Zhang, Ting
    Zhao, Di
    Meng, Junmin
    JOURNAL OF APPLIED REMOTE SENSING, 2014, 8
  • [33] Parameter estimation for polarimetric synthetic aperture radar imagery based on the zr log z moments
    Cui, Hao-gui
    Liu, Tao
    Jiang, Yu-zhong
    Gao, Jun
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [34] Comparisons of Speckle Noise Filtering Methods on Interferometric Synthetic Aperture Radar Images
    Chen, Yifei
    Xu, Huaping
    JOURNAL OF COMPUTERS, 2014, 9 (04) : 908 - 915
  • [35] Matrix log cumulant-based speckle filtering method for polarimetric synthetic aperture radar data
    Liu, Kun
    Ma, Wen-Ping
    Liu, Hong-Ying
    Wang, Shuang
    Binggong Xuebao/Acta Armamentarii, 2014, 35 (09): : 1400 - 1407
  • [36] Truncated-statistics-based bilateral filter for speckle reduction in synthetic aperture radar imagery
    Ai, Jiaqiu
    Yang, Hang
    Yang, Xuezhi
    Liu, Ruiming
    Luo, Qiwu
    Zhang, Xiaohui
    JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (02)
  • [37] Current trends in ship detection in single polarization synthetic aperture radar imagery
    Stefanowicz, Jerzy
    Ali, Irfan
    Andersson, Simon
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2020, 2020, 11581
  • [38] APPLICATION OF PREDICTIVE COMPRESSION METHODS TO SYNTHETIC APERTURE RADAR IMAGERY .1.
    WERNESS, SAS
    OPTICAL ENGINEERING, 1987, 26 (12) : 1200 - 1209
  • [39] Research of the Aeroplane Intelligent Localization Methods Based on Synthetic Aperture Radar Imagery
    Shao Yongshe
    Han Yang
    Zhang Leiyu
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2, 2009, : 154 - +
  • [40] EARLY-SEASON CROP CLASSIFICATION WITH RADARSAT-2 POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
    Tan, Weikai
    Sinha, Abhijit
    Li, Yifeng
    Ma, Lingfei
    Li, Jonathan
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4167 - 4170