Laser-induced breakdown spectroscopy （LIBS） has become a powerful technology in geological applications. The correct identification of rocks and soils is critical to many geological projects. In this study, LIBS dat...Laser-induced breakdown spectroscopy （LIBS） has become a powerful technology in geological applications. The correct identification of rocks and soils is critical to many geological projects. In this study, LIBS database software with a user-friendly and intuitive interface is developed based on Windows, consisting of a database module and a sample identification module. The database module includes a basic database containing LIBS persistent lines for elements and a dedicated geological database containing LIBS emission lines for several rock and soil reference standards. The module allows easy use of the data. A sample identification module based on partial least squares discriminant analysis （PLS-DA） or support vector machine （SVM） algorithms enables users to classify groups of unknown spectra. The developed system was used to classify rock and soil data sets in a dedicated database and the results demonstrate that the system is capable of fast and accurate classification of rocks and soils, and is thus useful for the detection of geological materials.展开更多
【目的】构建新疆典型荒漠植物光谱数据库系统,实现典型荒漠植物光谱数据高效管理和通用处理分析,增强光谱数据的实用性和荒漠区域生态恢复高光谱遥感生境监测数据的多源性。【方法】采用数据库技术、计算机技术和高光谱数据处理分析技...【目的】构建新疆典型荒漠植物光谱数据库系统,实现典型荒漠植物光谱数据高效管理和通用处理分析,增强光谱数据的实用性和荒漠区域生态恢复高光谱遥感生境监测数据的多源性。【方法】采用数据库技术、计算机技术和高光谱数据处理分析技术,基于C/S模式架构在VS2008平台下,基于SQL Server 2008关系型数据库,利用C#语言与IDL混合编程开发数据库系统。【结果】设计并完成了典型荒漠植物光谱数据库和系统功能开发,实现了光谱数据的入库存储、管理和光谱微分、光谱积分、光谱匹配、植物光谱特征参数提取分析等通用处理分析功能。【结论】为研究区生态恢复高光谱遥感定量监测提供有效的数据服务和技术支持。展开更多
基金supported by National Major Scientific Instruments and Equipment Development Special Funds,China(No.2011YQ030113)
文摘Laser-induced breakdown spectroscopy （LIBS） has become a powerful technology in geological applications. The correct identification of rocks and soils is critical to many geological projects. In this study, LIBS database software with a user-friendly and intuitive interface is developed based on Windows, consisting of a database module and a sample identification module. The database module includes a basic database containing LIBS persistent lines for elements and a dedicated geological database containing LIBS emission lines for several rock and soil reference standards. The module allows easy use of the data. A sample identification module based on partial least squares discriminant analysis （PLS-DA） or support vector machine （SVM） algorithms enables users to classify groups of unknown spectra. The developed system was used to classify rock and soil data sets in a dedicated database and the results demonstrate that the system is capable of fast and accurate classification of rocks and soils, and is thus useful for the detection of geological materials.
文摘【目的】构建新疆典型荒漠植物光谱数据库系统,实现典型荒漠植物光谱数据高效管理和通用处理分析,增强光谱数据的实用性和荒漠区域生态恢复高光谱遥感生境监测数据的多源性。【方法】采用数据库技术、计算机技术和高光谱数据处理分析技术,基于C/S模式架构在VS2008平台下,基于SQL Server 2008关系型数据库,利用C#语言与IDL混合编程开发数据库系统。【结果】设计并完成了典型荒漠植物光谱数据库和系统功能开发,实现了光谱数据的入库存储、管理和光谱微分、光谱积分、光谱匹配、植物光谱特征参数提取分析等通用处理分析功能。【结论】为研究区生态恢复高光谱遥感定量监测提供有效的数据服务和技术支持。
基金supported by the National Defense Science and Technology Foundation Strengthening Program(No.2021-JCJQ-JJ-0834)the Fundamental Research Funds for the Central Universities(Nos.NJ2022025,NP2022450)。
