摘要
随着星载合成孔径雷达(Synthetic Aperture Radar,SAR)干涉测量技术的快速发展,欧洲航天局等机构发布大量SAR数据。其中星载SAR技术具有高精度、全天候、范围广等优点,被广泛地应用于坡度位移、沉降监测、滑坡监测及中高分辨率的数字高程模型(Digital Elevation Model,DEM)的生成等。国内从欧洲航天局获取SAR数据存在通信链路不稳定、连接进程数受限、网络传输速度慢及长时序管理困难等问题,如何高速、按需、便捷地获取大量长时序SAR数据成为推动其行业应用迫在眉睫的问题。该文基于HTTP与SOCKS5协议,提取多源数据访问规则,采用异常断点续传算法与多线程并发算法,设计并实践一套高效且稳定的多源长时序SAR高速获取方法,并对阿坝州2019至2022年的SAR数据进行获取,相比IDM商业下载器,形成一种能够无人值守且高效稳定的长时序SAR数据获取方案。
With the rapid development of spaceborne synthetic aperture radar(SAR)interferometry,the European Space Agency and other agencies have released a large amount of SAR data.Among them,Spaceborne SAR technology has the advantages of high precision,all-weather and wide range,and has been widely used in slope displacement,settlement monitoring,landslide monitoring and medium and high resolution digital elevation model(DEM)generation.There are some problems in obtaining SAR data from ESA in China,such as unstable communication links,limited number of connection processes,slow network transmission speed and difficult management of long time series.How to obtain a large amount of long time series SAR data at high speed,on demand and conveniently has become an urgent problem to promote its industrial application.In this paper,based on HTTP and SOCKS5 protocol,multi-source data access rules are extracted,abnormal breakpoint resume algorithm and multi-thread concurrent algorithm are used to design and practice a set of efficient and stable multi-source long time sequence SAR high-speed acquisition method,and the SAR data of Aba prefecture from 2019 to 2022 are obtained.Compared with IDM commercial download,an efficient and stable unattended long time series SAR data acquisition scheme is proposed.
出处
《科技创新与应用》
2023年第18期15-18,共4页
Technology Innovation and Application
