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A brief introduction to the standardized spectral database of typical ground objects

机译:典型地物标准化光谱数据库简介

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The construction of standardized spectral database for typical objects of land surface aims to push development and application of quantitative remote sensing. The database is composed of four main parts including spectral database, model database, prior knowledgebase, and image database. The spectral database contains collection of existed spectral data, with quality evaluation, and collection of new spectral data together with corresponding parameters based on the new standard and criterion. The image database mainly contains a set of typical image data, which are synchronous to the ground spectral measurements obtained by different sensors. The prior knowledgebase widely includes such as data of LULC in different scales, DEM data, phenology data etc. The model database mainly contains models for spectral simulation, and includes also some general models for processing images. The model database is a key part of the spectral database. Though model simulation, database can provide characteristic spectral curves in different phases, scales and states. Furthermore, this database also includes demonstration of typical applications, which can make user to master application method of database quickly and exploit the application field of spectral database according to the detailed requirements. The construction of spectral database mainly provide some functions according to different users as follows: user management, upload and download of spectral data, management and transfer of prior knowledge, query of spectral data and corresponding parameters, model computing, query of remote sensing image, application demonstration, system management, user communication and so on. The core product of database is to provide measured and simulated spectral data of typical ground objects.
机译:建立典型地表标准光谱数据库的目的在于推动定量遥感技术的发展和应用。该数据库由四个主要部分组成,包括光谱数据库,模型数据库,先验知识库和图像数据库。光谱数据库包含对现有光谱数据的收集以及质量评估,并根据新的标准和准则收集新的光谱数据以及相应的参数。图像数据库主要包含一组典型的图像数据,这些数据与不同传感器获得的地面光谱测量结果同步。现有的知识库广泛地包括诸如不同尺度的LULC的数据,DEM数据,物候数据等。模型数据库主要包含用于光谱模拟的模型,并且还包括用于处理图像的一些通用模型。模型数据库是光谱数据库的关键部分。通过模型仿真,数据库可以提供不同相位,比例和状态的特征光谱曲线。此外,该数据库还包括典型应用的演示,可以使用户快速掌握数据库的应用方法,并根据详细的要求开发光谱数据库的应用领域。光谱数据库的建设主要针对不同用户提供以下功能:用户管理,光谱数据的上传和下载,先验知识的管理和转移,光谱数据及其对应参数的查询,模型计算,遥感影像的查询,应用程序演示,系统管理,用户交流等。数据库的核心产品是提供典型地面物体的测量和模拟光谱数据。

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