遥感卫星大数据高精度一体化处理技术

Remote sensing satellite big data high-recision integration processing technology

我国空天信息获取技术飞速发展,空天数据呈现出数据量大、种类多、增长快、价值密度相对较低的大数据特点。遥感卫星数据是空天大数据的重要组成部分,如何利用遥感卫星数据的规模效应和异构数据互补优势,提升处理精度并提高处理效率,是遥感卫星大数据处理系统需要解决的关键问题。简要回顾了我国遥感卫星数据地面处理系统的发展历程,指出了地面处理系统面临的核心难点,提出了基于稳定特性挖掘的遥感卫星大数据高精度处理技术的思路,并给出了初步的实现方法,以期为我国空天大数据处理系统的发展提供有益参考。

With the rapid development of China’s aerospace information acquisition technology,aerospace data presents the characteristics of large data volume,large number of types,rapid growth and relatively low value density.Remote sensing satellite data is an important part of aerospace big data.How to make use of the scale effect and the complementary advantages of the data of different satellites,so as to improve the processing accuracy and efficiency,is the key problem to be solved in the remote sensing satellite big data processing system.The development history of our country’s remote sensing satellite ground data processing system was reviewed briefly.The core difficulties faced by the ground processing system were pointed out.A high-precision processing technology for remote sensing satellite big data based on stability feature mining was proposed.And a preliminary implementation was given.The method provides a useful reference for the development of our country’s aerospace big data processing system.