基于遥感大数据的信息提取技术综述

A survey on information extraction technology based on remote sensing big data

随着遥感技术的快速发展,我国已建立了比较完善的航天遥感和灵活多样的航空遥感数据获取体系。遥感大数据以海量遥感数据为主,综合了其他多源遥感数据,并运用大数据思维与手段,发掘海量数据中的知识规律和高价值信息。回顾了近年来基于遥感大数据的信息提取技术研究工作,从遥感目标检测、遥感地物分割、遥感变化检测三方面阐述了遥感信息提取技术的发展历程,对各个发展阶段及代表性方法进行了梳理与归纳,并对基于遥感大数据的信息提取技术进行了展望。

With the rapid development of remote sensing technology,our country has established a relatively complete space remote sensing and flexible and diverse aerial remote sensing data acquisition system.Remote sensing big data is mainly based on massive remote sensing data,integrating other multi-source remote sensing data,using big data thinking and methods,and discovering knowledge laws and high-value information in massive data.Firstly,the research work of information extraction technology based on remote sensing big data was reviewed in recent years.Secondly,the development history of remote sensing information extraction technology was expounded from three aspects:remote sensing target detection,remote sensing surface object segmentation,and remote sensing change detection.Finally,the information extraction technology based on remote sensing big data was sorted out,summarized and prospected.