支持多源遥感数据格式的抽象库DFAL

发布时间：2017-12-28 10:35

本文关键词：支持多源遥感数据格式的抽象库DFAL　出处：《遥感学报》2016年02期 　论文类型：期刊论文

更多相关文章： GDAL HDF 遥感数据格式集成 DFAL

【摘要】：针对当前遥感数据缺乏统一文件格式标准,多源遥感产品的生产使用涉及多种文件格式的现状,在研究多种遥感数据格式及对应库GDAL、HDF4、HDF5的基础上,参考国家气象局的NOAA AVHRR 1B格式标准,利用工厂模式,设计和实现了一个具有统一操作接口的多源遥感数据格式抽象库DFAL,在更高的抽象层次解决了GDAL和HDF4、HDF5库不能一致使用的问题。使用DFAL库进行不同文件格式的读写,专家无需了解这些文件格式的差别,以便从繁杂的遥感数据格式中解放出来,将更多精力投入到遥感科学研究的层面上。在DFAL库的基础上实现了两类常用遥感数据格式Geo TIFF和HDF5之间的转换工具,方便工程应用。DFAL库及转换工具在国家高技术研究发展计划《星机地综合定量遥感系统与应用示范》的多尺度按需定量遥感产品生产系统中进行了应用测试,取得了很好的实际效果,证明了DFAL库稳定性和可用性,并大大减少了多源数据协同使用时多种文件格式读写的工作量。
[Abstract]:In view of the current lack of a unified remote sensing data file format standard, production and application situation involving a variety of file formats of multi-source remote sensing products, based on a variety of remote sensing data format and the corresponding GDAL, HDF4, HDF5 library, NOAA AVHRR 1B standard reference National Meteorological Bureau, use the factory pattern, has designed and implemented a unified the operation interface of multi-source remote sensing data format abstraction library DFAL, at a higher level of abstraction to solve the GDAL and HDF4, HDF5 library can not coincide with the use of the problem. Using DFAL library to read and write different file formats, experts do not need to know the difference between these file formats, so as to liberate them from the complicated remote sensing data format, and put more effort into the research level of remote sensing. The conversion tool between two kinds of common remote sensing data formats, Geo TIFF and HDF5, is implemented on the basis of the DFAL library, which is convenient for engineering application. The DFAL library and the conversion tool in the national high technology research and development program "multi scale comprehensive quantitative remote sensing satellite machine system and application demonstration" on-demand quantitative remote sensing production system was applied to test, obtained very good practical results, proved the stability and availability of the DFAL library, and greatly reduce the multi-source data collaboration the use of a variety of file formats to read and write workload.
【作者单位】：中国科学院遥感与数字地球研究所;中国科学院大学;
【基金】：国家高技术研究发展计划(863计划)(编号:2013AA12A301;2012AA12A304) 中国科学院“一三五”规划项目面向遥感监测的大数据技术(编号:Y3SG1500CX)~~
【分类号】：TP751
【正文快照】： 引用格式:李宏益,唐娉.2016.支持多源遥感数据格式的抽象库DFAL.遥感学报,20(2):197 204Li H Y and Tang P.2016.Abstraction library DFAL supported the integration of multisource remote sensing data1引言随着对地观测技术的发展,遥感数据获取变得越来越容易。在遥感应

【相似文献】