This work describes the set of tools developed, tested, and put into production in the context of the H2020 project Multi-scale Observation and Monitoring of Railway Infrastructure Threats (MOMIT). This project, which ended in 2019, aimed to show how the use of various remote sensing techniques could help to improve the monitoring of railway infrastructures, such as tracks or bridges, and thus, consequently, improve the detection of ground instabilities and facilitate their management. Several lines of work were opened by MOMIT, but the authors of this work concentrated their efforts in the design of tools to help the detection and identification of ground movements using synthetic aperture radar interferometry (InSAR) data. The main output of this activity was a set of tools able to detect the areas labelled active deformation areas (ADA), with the highest deformation rates and to connect them to a geological or anthropogenic process. ADAtools is the name given to the aforementioned set of tools. The description of these tools includes the definition of their targets, inputs, and outputs, as well as details on how the correctness of the applications was checked and on the benchmarks showing their performance. The ADAtools include the following applications: ADAfinder, los2hv, ADAclassifier, and THEXfinder. The toolset is targeted at the analysis and interpretation of InSAR results. Ancillary information supports the semi-automatic interpretation and classification process. Two real use-cases illustrating this statement are included at the end of this paper to show the kind of results that may be obtained with the ADAtools.

中文翻译：

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ADAtools：根据PSI位移图自动检测活动变形区域并进行分类

这项工作描述了在H2020项目“铁路基础设施威胁的多尺度观察和监控”的背景下开发，测试和投入生产的工具集。该项目于2019年结束，旨在说明如何使用各种遥感技术来帮助改善对铁路基础设施（如轨道或桥梁）的监控，从而改善对地面不稳定性的检测并促进其管理。MOMIT开展了几项工作，但这项工作的作者致力于设计工具，以使用合成孔径雷达干涉测量（InSAR）数据帮助检测和识别地面运动。该活动的主要输出是一套工具，能够检测标记为活动变形区域（ADA）的区域，具有最高的变形率，并将其与地质或人为过程联系起来。ADAtools是上述工具集的名称。这些工具的描述包括其目标，输入和输出的定义，以及有关如何检查应用程序的正确性以及显示其性能的基准的详细信息。ADAtools包括以下应用程序：ADAfinder，los2hv，ADAclassifier和THEXfinder。该工具集旨在分析和解释InSAR结果。辅助信息支持半自动解释和分类过程。本文末尾包含两个说明该语句的实际用例，以显示可以使用ADAtools获得的结果类型。