计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (11): 23-26.

• 学术探讨 • 上一篇    下一篇

TITAN软件在网格中的服务构建研究

马艳 王建 李国庆 王彻 关小平   

  1. 中国科学院中国遥感卫星地面站
  • 收稿日期:2006-08-22 修回日期:1900-01-01 出版日期:2007-04-11 发布日期:2007-04-11
  • 通讯作者: 马艳

Grid services implementation of TITAN software

Yan Ma Jian Wang   

  • Received:2006-08-22 Revised:1900-01-01 Online:2007-04-11 Published:2007-04-11
  • Contact: Yan Ma

摘要: 传统桌面遥感图像处理软件功能日益强大且被广泛使用。TITAN Image作为我国自主研发的桌面遥感图像处理软件,它的功能强大且算法新颖。但是TITAN软件包仍然是一种集中式结构的桌面软件系统,它缺乏有效的共享机制,而这限制了系统在功能和性能等方面的发展,也将不能进一步地适应遥感技术的发展。而网格计算技术的发展为遥感图像处理软件之间的共享与互操作问题的解决提供了有效的方法。对TITAN桌面遥感图像处理软件进行网格化改造将能够改变软件的集中模式,并能有效地将TITAN软件包中的算法资源整合到网格中,实现遥感图像处理算法的跨平台、跨区域的共享和互操作。因此,本文利用网格开放式的资源共享模型,针对TITAN软件包的特点,研究了TITAN软件在空间信息网格中的服务构建方法。

关键词: 遥感图像处理, 软件, 网格, 服务构建

Abstract: Traditional desktop style remote sensing image processing software is increasingly becoming powerful and widely used. TITAN Image, one of the excellent homemade desktop remote sensing image processing software, is powerful and includes lots of novel algorithms. However, TITAN Image which is a centralized constructed desktop software system lacks sharing mechanism. And this limits the development of system on many aspects such as functionality and performance. Also it makes itself inadaptable with the further development of remote sensing technique. Then the development of the grid computing technique provides an effective approach to realize the sharing and integration of remote sensing image processing software. Through grid services implementation of TITAN software, its traditional centralized software structure would be eliminated and its algorithms would be integrated into grid effectively. Accordingly, the cross-plat and cross-region sharing and cooperation of image processing algorithms will be realized. Therefore, based on the research on the characteristic of TITAN software package, a technical strategy of grid services implementation of TITAN software package in Spatial Information Grid using the open resource sharing model of grid will be given in this paper.

Key words: remote sensing image processing, software, grid, service construct