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面向定量遥感研究的遥感模型集成平台设计与实现
引用本文:李晓,杜永明,徐大琦,柳钦火. 面向定量遥感研究的遥感模型集成平台设计与实现[J]. 遥感技术与应用, 2015, 30(2): 285-291. DOI: 10.11873/j.issn.1004|0323.2015.2.0285
作者姓名:李晓  杜永明  徐大琦  柳钦火
作者单位:(1.中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100010;;2.电子科技大学资源与环境学院,四川 成都610054;;3.中国资源卫星应用中心,北京100094)
基金项目:典型农作物冠层全生长期辐射方向性模型构建研究(41171282)
摘    要:介绍了遥感模型集成平台的设计思路,关键技术的实现方法。对定量遥感研究中使用的遥感模型进行集成,使用统一的框架将模型封装并发布,通过集成平台来实现多个模型的统一调用,借助集成平台内置的二次开发语言来实现模型变量的赋值,循环,判断等逻辑操作,将多个模型之间的输入输出自动关联,实现单一模型无法实现的复杂模拟,以辅助开展定量遥感研究工作。最后,在设计开发的集成平台上,开展了一组模拟实验以验证集成平台的正确性。

关 键 词:遥感模型  模型集成  定量遥感  

A Remote Sensing Model Integration Platform Design and Implementation Oriented the Quantitative Remote Sensing Research
Li Xiao,Du Yongming,Xu Daqi,Liu Qinhuo. A Remote Sensing Model Integration Platform Design and Implementation Oriented the Quantitative Remote Sensing Research[J]. Remote Sensing Technology and Application, 2015, 30(2): 285-291. DOI: 10.11873/j.issn.1004|0323.2015.2.0285
Authors:Li Xiao  Du Yongming  Xu Daqi  Liu Qinhuo
Affiliation:(1.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;;2.University of Electronic Science and Technology of China,Chengdu 610045,China;;3.China Centre for Resources Satellite Data and Application,Beijing 100094,China)
Abstract:This paper introduces the design of remote sensing model integration platform and the key technologies.The purpose of model integration is to integrate the models into a universal platform,and the remote sensing models can be applied to study on this platform.With the help of the redevelop language built|in this integration platform,we can achieve the model variable assignment,circulation,judgment,logic operations and so on.By this way,we can get the automatic correlation of multiple models between inputs and outputs,and realize complex simulation which single model cannot achieve,to assist to carry out the quantitative remote sensing research.In the end,a set of simulation test is carried out verifing the correctness of the integration platform.
Keywords:Remote sensing model  Model integration  Quantitative remote sensing
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