首页|基于GAMMA软件二次开发的地表形变监测系统

基于GAMMA软件二次开发的地表形变监测系统

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InSAR技术具有大范围、高精度、全天时、全天候的优点,已被广泛地应用于地表形变监测与高程获取.GAMMA软件具有支持数据源丰富、处理功能全面、结果精度可靠和效率高等优势,是当前国际上常用的InSAR数据处理软件.但该软件采用命令行交互,操作命令繁杂、对专业要求程度高,不易于非专业用户使用.针对以上问题,本文利用界面友好、开源的QGIS对GAMMA进行二次开发.结合GAMMA提供的py_gamma库和QGIS提供的py_QGIS API接口,采用模块化设计、算法并行优化等技术,开发了一套界面化InSAR形变监测系统,并以西藏沃达地区106景哨兵1号数据进行处理试验,从软件性能和处理结果方面证明了基于QGIS和GAMMA二次开发的可行性和可靠性.相关内容可为命令行用户界面软件转图形化用户界面提供参考.
Surface deformation monitoring system based on GAMMA software
InSAR technology has the advantages of large range,high precision,all-day and all-weather.It has been widely used in surface deformation monitoring and elevation acquisition.The GAMMA software has the advantages of supporting rich data sources,comprehensive processing functions,reliable result accuracy and high efficiency.GAMMA is currently a commonly used InSAR data processing software in the world.However,GAMMA uses a command line user interface for interaction,which leads its complicated operating and high professionalism requirements.So it is difficult for non-professional users to use.In order to solve the above problems,this paper uses the user-friendly and open source QGIS to carry out secondary development of GAMMA,combines the py_gamma library provided by GAMMA and the py_QGIS API interface provided by QGIS,taking the development of InSAR deformation monitoring system as a case,and taking the 106 Sentinel-1 in Warda area,Xizang No.is processing the experiment,which proves the feasibility and reliability of secondary development based on QGIS and GAMMA in terms of software performance and processing results.At the same time,the development adopts technologies such as modular design and algorithm parallel optimization.Relevant content can provide reference for converting command line user interface software to graphical user interface.

synthetic aperture radar interferometryQGISGAMMAsecondary development

曾伟、王泽平、杨红磊

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中国测绘学会,北京 100830

中国地质大学(北京)土地科学技术学院,北京 100083

合成孔径雷达干涉测量 QGIS GAMMA 二次开发

国家重点研发计划

2021YFE0116800

2024

测绘通报
测绘出版社

测绘通报

CSTPCD北大核心
影响因子:1.027
ISSN:0494-0911
年,卷(期):2024.(10)