• DocumentCode
    2000634
  • Title

    Design and implementation of statistic remote sensing platform based on design patterns

  • Author

    Wang, XiaoDong ; Liu, HuiPing ; Zhu, ShouDong ; Zhou, XiaoLuo ; Qiao, Yu

  • Author_Institution
    Sch. of Geogr., Beijing Normal Univ., Beijing, China
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The ldquosoftware crisisrdquo outbreak in 1960s continues to this day. The process of software development faces a number of serious problems; software reuse is the fundamental approach to solve this problem. Design patterns is one of the typical way of software reuse, is the basic of reusable object-oriented software design. In order to reduce the influences of a variety of functions and non-functional problems in software development process, this study integrates the features of remote sensing and GIS software, and put forward several application cases based on the classic GoF design patterns. These cases had been applied to the ecological resources statistics remote sensing platform successfully, and greatly improved the software´s scalability and flexibility.
  • Keywords
    geographic information systems; object-oriented methods; object-oriented programming; remote sensing; software reusability; statistics; GIS software; GoF design patterns; ecological resources statistics; geographic information systems; object-oriented software design; software development process; software reuse; statistic remote sensing platform; Costs; Geographic Information Systems; Image processing; Programming; Remote sensing; Scalability; Software design; Software maintenance; Software quality; Statistics; Design Pattern; Object Oriented; Software Reuse; Statistic Remote Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2009 17th International Conference on
  • Conference_Location
    Fairfax, VA
  • Print_ISBN
    978-1-4244-4562-2
  • Electronic_ISBN
    978-1-4244-4563-9
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2009.5293429
  • Filename
    5293429