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计算机工程

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基于MEF 的卫星遥感监测产品集成框架实现

韩秀珍1,冯德财2,张路金2,刘子畅2   

  1. (1. 中国气象局国家卫星气象中心,北京100081; 2. 中国科学院电子学研究所,北京100190)
  • 收稿日期:2013-10-28 出版日期:2014-11-15 发布日期:2014-11-13
  • 作者简介:韩秀珍(1974 - ),女,博士,主研方向:卫星遥感技术;冯德财,高级工程师、硕士;张路金、刘子畅,助理研究员、硕士。
  • 基金资助:

    中国气象局气象关键技术集成与应用基金资助重点项目(CMAGJ2013Z20);中国气象局气象关键技术集成与应用基金资助面上项目(CMAGJ2013ZX-CX4)。

Implementation of Satellite Remote Sensing Monitoring Product Integrated Framework Based on MEF

HAN Xiuzhen 1,FENG Decai 2,ZHANG Lujin 2,LIU Zichang 2   

  1. (1. National Satellite Meteorological Center,China Meteorological Administration,Beijing 100081,China; 2. Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China)
  • Received:2013-10-28 Online:2014-11-15 Published:2014-11-13

摘要:

传统的遥感监测分析系统集成了大量专业的图像处理算法,但没有针对特定领域监测分析业务进行梳理和建模,算法、模型和功能复用性、扩展性较差,系统在应用推广中困难较大。为此,提出基于管理扩展框架技术的卫星遥感监测产品集成框架,对于特定领域范围内的监测分析算法、模型、业务应用等动态、灵活地按需集成到应用框架上。通过建立该应用框架,实现业务连贯性处理的同时缩短影像处理周期,并提高代码的复用率和系统的灵活性及可扩展性。由于该应用框架按需动态扩展的特性,可将其向其他各相关领域进行推广。

关键词: 管理扩展框架, 可扩展, 集成框架, 气象遥感, 领域模型, 基于组件

Abstract:

As it is common to integrate more technical image processing algorithms within remote sensing monitoring analysis system,but these systems with the problem of lack of modeling particular domain service.Moreover,these systems short on reusability and extendibility of algorithms and models. Based on the above reasons,the remote sensing monitoring analysis system is faced to multi difficulties when it is promoted. In order to address these problems,this paper proposes an integrated framework of satellite remote sensing monitoring analysis based-on Managed Extensibility Framework(MEF) that dynamically and flexibly integrates algorithms,models,and applications on the framework according to the requirements. This framework can realize coherence of processing images and extremely shortened period of processes,and improves flexibility and scalability. Moreover,this framework can be extended to other related domains because of scalability.

Key words: Managed Extensibility Framework(MEF), scalable, integrated framework, meteorological remote sensing, domain model, component-based

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