Volume 34 Issue 11
Nov.  2009
Turn off MathJax
Article Contents
Abstract
Related Articles
GAO Xingwei, CHEN Ruizhi, ZHAO Chunmei. A Network RTK Algorithm and Its Test[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1350-1353.
Citation: GAO Xingwei, CHEN Ruizhi, ZHAO Chunmei. A Network RTK Algorithm and Its Test[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1350-1353.
shu

A Network RTK Algorithm and Its Test

  • 1Chinese Academy of Surveying and Mapping,16 Beitaiping Road,Beijing 100039,China;2Finnish Geodetic Institute,Masala 02431,Finland

Funds: 国家863计划资助项目(2006AA12Z306,2007AA12Z313)；国家自然科学基金资助项目(40504003)
More Information
  • Received Date: September 17, 2009
  • Revised Date: September 17, 2009
  • Published Date: November 04, 2009
    Graphical Abstract
    • Abstract
  • Compared with conventional RTKs,network RTKs have many advantages including high accuracy,high availability,high reliability,and cost efficiency. Hence,it has become one of the most cost effective precise positioning techniques. Some methods concerning network RTKs,e.g. integer DD ambiguities searching and rover system biases processing,are discussed. Test results and conclusions are given.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]CHANG Yonglei, YANG Jie, LI Pingxiang, ZHAO Lingli, YU Jie. Automatic Bridge Recognition Method in High Resolution PolSAR Images Based on CFAR Detector[J]. Geomatics and Information Science of Wuhan University, 2017, 42(6): 762-767. DOI: 10.13203/j.whugis20140828
    [2]ZHU Tingting, LI Fei, ZHANG Shengkai, YUAN Lexian. Rock Outcrop Detection from RADARSAT-1 Datasets Based on Constant False Alarm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(11): 1512-1517. DOI: 10.13203/j.whugis20150266
    [3]he chu, zhangyu, liaoziqian, xuxin. compressive sensing based cfar target detection algorithm for sar image[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 878-882.
    [4]LI Liang, SHU Ning, GONG Yan. Remote Sensing Image Change Detection and Change Type Recognition Based on Spatiotemporal Relationship[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 533-537.
    [5]YOU Hongjian. SAR Change Detection by Multi-scale Segmentation and Optimization[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 531-534.
    [6]XU Lihua, JIANG Wanshou. Change Detection of Satellite Imagery Considering Projection Difference[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 687-690.
    [7]ZHANG Xiaodong, LI Deren, GONG Jianya, QIN Qianqing. A Change Detection Method of Integrating Remote Sensing and GIS[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 266-269.
    [8]FANG Shenghui, DIAN Yuanyong, LI Wei. Change Detection Based on Both Edges and Gray[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 135-138.
    [9]LI Deren. Change Detection from Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2003, 28(S1): 7-12.
    [10]Fang Zhen, Zhang Jianqing, Zhang Zuxun. Change Detection Based on Aerial Image of Urban Area[J]. Geomatics and Information Science of Wuhan University, 1997, 22(3): 240-244.

Catalog

    Get Citation
    PDF
    XML
    Article views (879) PDF downloads (592) 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