Volume 37 Issue 7
Jul.  2012
Turn off MathJax
Article Contents
Abstract
LI Pingxiang, DENG Shaoping, ZHANG Jixian, YANG Jie. An Edge Detector for Polarimetric SAR Images Based on Adaptive Optimal Polarimetric Contrast Enhancement[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 789-793.
Citation: LI Pingxiang, DENG Shaoping, ZHANG Jixian, YANG Jie. An Edge Detector for Polarimetric SAR Images Based on Adaptive Optimal Polarimetric Contrast Enhancement[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 789-793.
shu

An Edge Detector for Polarimetric SAR Images Based on Adaptive Optimal Polarimetric Contrast Enhancement

  • 1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Chinese Academy of Surveying and Mapping,28 Lianhuachixi Road,Haidian District,Beijing 100830,China

Funds: 国家863计划资助项目(2011AA120404);;地理空间信息工程国家测绘地理信息局重点实验室经费资助项目(201125)
More Information
  • Received Date: April 17, 2012
  • Published Date: July 04, 2012
    Graphical Abstract
    • Abstract
  • Aiming at improving the utilization of polarimetric information,a new edge detector for polarimetric synthetic aperture radar(PoLSAR) images based on adaptive optimal polarimetric contrast enhancement and ratio of averaging was proposed in this paper.The optimal polarization is adaptive to window location and edge templates.Therefore the new method is robust.Experimental results of simulated and real PolSAR data both revealed that the performance of the new detector was improved.
    • FullText(HTML)
    • References (0)
    • Related Articles

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by()
    Related

    Copyright © 2013 《武汉大学学报·信息科学版》编辑部

    Address：武汉大学文理学部本科生院楼北5楼Post Code：430072

    Tel：027-68778465,68788631E-mail:whuxxb@vip.163.com

    Submit Article

    Submission Guidelines

    e

    Contact Us

    Qrcode

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return