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首页> 外文期刊>International journal of remote sensing >An open source Opticks plug-in for high resolution SAR imagery orthorectification and stereo measurements
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An open source Opticks plug-in for high resolution SAR imagery orthorectification and stereo measurements

机译：开源Opticks插件，用于高分辨率SAR图像正射校正和立体测量

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摘要

Nowadays, the availability of novel high-resolution synthetic aperture radar (SAR) spaceborne sensors offers new interesting potentialities for the acquisition of data useful for the generation of secondary products as digital surface models (DSMs), orthoimages, and displacement maps. SAR technology provides for low-cost, fast data acquisition and processing, independence from logistic difficulties, and night-and-day and all-weather functionality. These features are of crucial importance for the timely monitoring and management of disasters and emergencies such as geological, hydrological, and geophysical hazards. However, one of the most critical aspects in extracting useful and reliable information from SAR data is the image processing. Although several commercial software suites are available, in recent years the open source technology has confirmed a reliable and effective alternative for SAR processing and in general for geospatial information management. For instance, projects such as the Open Source Geospatial Foundation (OSGeo) offer to users, developers, and scientists powerful solutions based on costless, expandable, and customizable software. The goal of this work was to extend the capabilities of the Opticks remote sensing and imagery analysis software developing a plug-in (3DGeoCode plug-in) able to perform SAR precise image orthorectification (Orthotool) and to retrieve three-dimensional information starting from a stereo-pair (stereo measurement tool). At the moment of writing this article, the plug-in handles high-resolution SAR imagery acquired by TerraSAR-X and Radarsat-2 sensors. A complete description of the exploited algorithms is illustrated with special focus on showing the solutions adopted during the implementation. Moreover, a deep analysis of the accuracy achievable by the 3DGeoCode plug-in is reported showing the results obtained in several test sites. In particular, using a high-resolution lidar DSM and a TerraSAR-X spotlight stereopair over the area of Trento city (northern Italy), a root mean square error (RMSE) of approximately 2-3m with respect to the reference DSM both for orthoimages and stereo measurements was achieved.
机译：如今，新型高分辨率合成孔径雷达（SAR）星载传感器的可用性为获取有用的数据提供了新的有趣潜力，这些数据可用于生成辅助产品，如数字表面模型（DSM），正射影像和位移图。 SAR技术可提供低成本，快速的数据采集和处理，不受后勤困难的影响以及昼夜和全天候功能。这些功能对于及时监测和管理灾害，突发事件（如地质，水文和地球物理灾害）至关重要。但是，从SAR数据中提取有用和可靠信息的最关键方面之一是图像处理。尽管有几种商业软件套件可供使用，但近年来，开源技术已证实是SAR处理以及一般用于地理空间信息管理的可靠且有效的替代方法。例如，诸如开源地理空间基金会（OSGeo）之类的项目为用户，开发人员和科学家提供了基于无价，可扩展和可定制软件的强大解决方案。这项工作的目的是扩展Opticks遥感和图像分析软件的功能，以开发能够执行SAR精确图像正射校正（Orthotool）的插件（3DGeoCode插件），并从3D图像中检索三维信息。立体声对（立体声测量工具）。在撰写本文时，该插件可处理TerraSAR-X和Radarsat-2传感器获取的高分辨率SAR图像。说明了所利用算法的完整说明，并特别着重说明了在实施过程中采用的解决方案。此外，据报道对3DGeoCode插件可获得的准确性进行了深入分析，显示了在多个测试站点中获得的结果。特别是，在特伦托市（意大利北部）地区使用高分辨率激光雷达DSM和TerraSAR-X聚光灯立体对，对于正射影像，均相对于参考DSM均方根误差（RMSE）约为2-3m并完成了立体声测量。

著录项

  • 来源
    《International journal of remote sensing》 |2016年第15期|3532-3546|共15页
  • 作者

    Nascetti Andrea; Colosimo Gabriele;

  • 作者单位

    DICEA Univ Sapienza Rome, Geodesy & Geomat Div, Rome, Italy;

    DICEA Univ Sapienza Rome, Geodesy & Geomat Div, Rome, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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