首页|基于综合卫星遥感的典型铁路设施提取方法研究

基于综合卫星遥感的典型铁路设施提取方法研究

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随着遥感技术在铁路行业应用的深入,应用多源遥感对铁路设施状态进行观测成为学界和产业界关注的热点。针对铁路设施状态定量化监测问题,应用InSAR技术可以获得铁路设施沉降信息,沉降信息的分析提取往往要借助设施的类别、位置等属性,否则无法进一步对特定铁路设施的沉降进行量化评估。文章综合利用星基光学与微波遥感影像,通过目标检测技术对铁路设施进行自动提取,确定铁路设施微波散射点与光学属性中类别与位置的对应关系;选取典型区域,以接触网立柱为例,利用多源遥感影像对文中提出的提取方法进行验证,结果显示:综合光学遥感影像的高空间分辨率以及SAR影像对铁路设施特异性散射的特征对铁路设施进行提取,提取准确率较光学遥感影像提取准确率提高2。8%,较SAR影像提取准确率提高 9。2%,同时提取结果中设施位置更准确,可减少因设施的错误监测造成的行车安全影响,为InSAR对铁路设施形变的定量化监测提供参考。
Research on Typical Railway Facilities Extraction Method Based on Comprehensive Satellite Remote Sensing
With the deepening of the application of remote sensing technology in the railway industry,the application of multi-source remote sensing to observe the state of railway facilities has become a hot topic in academia and industry.In order to solve the problem of quantitative monitoring of the state of railway facilities,the settlement information of railway facilities can be obtained by applying InSAR technology,and the analysis and extraction of settlement information often rely on the attributes such as the type and location of the facilities,otherwise the settlement of specific railway facilities cannot be further quantitatively evaluated.In this paper,satellite-based optics and microwave remote sensing images are used to automatically extract railway facilities through target detection technology,and the correspondence between microwave scattering points and categories and locations in the optical properties of railway facilities is determined.The results show that the extraction accuracy of railway facilities is increased by 2.8%compared with that of optical remote sensing images,and 9.2%is higher than that of SAR images,at the same time,the facility extraction results are more accurate in terms of location compared to SAR image extraction results.It can reduce the impact of driving safety caused by incorrect monitoring of facilities,and provide a reference for the quantitative monitoring of deformation of InSAR railway facilities.

railway facilitycontact wire columnremote sensingoptical SAR fusionobject detection

袁慕策、姚京川、简国辉、郭继亮、解志峰

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中国铁道科学研究院集团有限公司铁道建筑研究所,北京 100081

铁科检测有限公司,北京 100081

中国铁道科学研究院集团有限公司高速铁路轨道系统全国重点实验室,北京 100081

铁路设施 接触网立柱 遥感 光SAR融合 目标检测

中国铁道科学研究院集团有限公司科技研究开发计划项目四川省重大科技专项

2022YJ3292023ZDZX0030

2024

航天返回与遥感
中国航天科技集团公司第五研究院第508研究所

航天返回与遥感

CSTPCD北大核心
影响因子:0.669
ISSN:1009-8518
年,卷(期):2024.45(1)
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