Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland.
Sensors (Basel). 2023 May 19;23(10):4922. doi: 10.3390/s23104922.
Constant monitoring of airports and aviation bases has become one of the priorities in today's strategic security. It results in the necessity to develop the potential of satellite Earth observation systems and to intensify the efforts to develop the technologies of processing SAR data, in particular in the aspect of detecting changes. The aim of this work is to develop a new algorithm based on the modified core REACTIV in the multitemporal detection of changes in radar satellite imagery. For the purposes of the research works, the new algorithm implemented in the Google Earth Engine environment has been transformed so that it would meet the requirements posed by imagery intelligence. The assessment of the potential of the developed methodology was performed based on the analysis of the three main aspects of change detection: analysis of infrastructural changes, analysis of military activity, and impact effect evaluation. The proposed methodology enables automated detection of changes in multitemporal series of radar imagery. Apart from merely detecting the changes, the method also allows for the expansion of the change analysis result by adding another dimension: the determination of the time of the change.
对机场和航空基地的持续监控已成为当今战略安全的重点之一。这导致了开发卫星对地观测系统潜力和加强发展合成孔径雷达（SAR）数据处理技术的必要性，特别是在检测变化方面。本工作的目的是开发一种新的算法，该算法基于改进的核心 REACTIV，用于多时间雷达卫星图像变化检测。为了进行研究工作，新算法已经在 Google Earth Engine 环境中实现，以满足图像情报提出的要求。所开发方法的潜力评估是基于变化检测的三个主要方面的分析来进行的：基础设施变化分析、军事活动分析和影响效果评估。所提出的方法能够实现多时间序列雷达图像变化的自动检测。除了检测变化之外，该方法还允许通过添加另一个维度来扩展变化分析结果：确定变化的时间。
