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A system design for storing, archiving, and retrieving hyperspectral data

机译:用于存储,归档和检索高光谱数据的系统设计

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摘要

Hyperspectral data and products derived from instrumentation such as the Atmospheric Infrared Sounder (AIRS), the Cross-track Infrared Sounder (CrIS), Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) and the GOES-R Hyperspectral Environmental Suite (HES) will impose storage and data retrieval requirements that far exceed the demands of earlier generation remote sensing instrumentation used for atmospheric science research. A new architecture designed to address projected real time and research needs is undergoing prototype design and development. The system is designed using proven aspects of distributed data storage networks, descriptive metadata associated with stored files, data cataloging and database search schemes, and a data delivery approach that obeys accepted standards. Preliminary implementation and testing of some components of this architecture indicate that the design approach shows promise of an improved method for storage and library functionality for the data volumes associated with operational hyperspectral instrumentation.
机译:来自仪器的高光谱数据和产品(如大气红外测深仪(AIRS),跨轨红外测深仪(CrIS),地球同步成像傅里叶变换光谱仪(GIFTS)和GOES-R高光谱环境套件(HES))将被强加存储和数据检索要求远远超出了用于大气科学研究的上一代遥感仪器的要求。设计用于解决计划的实时和研究需求的新架构正在进行原型设计和开发。该系统使用分布式数据存储网络的成熟方面,与存储文件相关联的描述性元数据,数据分类和数据库搜索方案以及符合公认标准的数据传递方法来设计。对该架构某些组件的初步实现和测试表明,该设计方法显示出一种改进的方法的希望,该方法用于与操作性高光谱仪器相关的数据量的存储和库功能。

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