基于Sentinel-1多时相图像的新建筑自动检测

I. Hlaváčová, M. Kačmařík, M. Lazecký, J. Struhár, P. Rapant
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引用次数: 0

摘要

本文提出并介绍了一种利用多时相卫星合成孔径雷达数据自动探测新建筑的处理链。虽然它是在利用哨兵-1图像的同时发展的,它可以适应其他卫星雷达系统。该解决方案主要用于受保护的关键基础设施区域,以确定禁止建筑。该算法主要采用后向散射变化统计评价和相干性变化评价相结合的方法,以消除对常见农业活动或植被季节性变化对自然地表变化的检测。该解决方案首先在选定的区域进行测试,包括城市和自然环境。虽然从单个轨道检测新建筑的平均成功率仅为36%,但处理来自更多轨道的数据显着增加了新建筑检测的概率,特别是对于较大的建筑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Detection of New Building Construction from Sentinel-1 Multi-temporal Imagery
An automatic processing chain for detecting a new building construction solely from multitemporal satellite synthetic aperture radar data was developed and introduced in the paper. Although it was developed while utilising Sentinel-1 imagery, it can be adapted to other satellite radar systems. The solution was developed to be used mainly in protected critical infrastructure zones to identify prohibited constructions. In order to eliminate detection of changes happening on natural surfaces due to common agricultural works or seasonal changes in vegetation, the algorithm mainly uses a combination of a backscatter change statistical evaluation and coherence change evaluation. The solution was first tested in a selected area, including urban and natural environments. Although mean success in detecting a new building construction from a single track was only 36%, processing data from more tracks significantly increased the probability of a new building detection, especially of the larger ones.
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