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

机译:典型地面对象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:土地面典型物体的标准化光谱数据库的构建旨在推动定量遥感的发展和应用。数据库由四个主要部分组成,包括频谱数据库,型号数据库,先前知识库和图像数据库。光谱数据库包含存在的频谱数据的集合,具有质量评估,以及基于新标准和标准的相应参数将新的光谱数据集合。图像数据库主要包含一组典型图像数据,其与由不同传感器获得的地面光谱测量同步。先前的知识库广泛包括诸如LULC的数据,例如不同的尺度,DEM数据,候选数据等。模型数据库主要包含用于光谱仿真的模型,还包括一些用于处理图像的一般模型。模型数据库是光谱数据库的关键部分。虽然模型仿真,但数据库可以在不同阶段,尺度和状态下提供特征谱曲线。此外,该数据库还包括典型应用程序的演示,它可以使用户能够快速掌握数据库的应用方法,并根据详细要求利用频谱数据库的应用领域。光谱数据库的构造主要提供一些功能,如下不同的用户如下:用户管理,上传和下载的频谱数据,管理和先前知识的传输,频谱数据的查询和相应的参数,模型计算,遥感图像的查询,应用演示,系统管理,用户通讯等。数据库的核心产品是提供典型地面对象的测量和模拟光谱数据。

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