基于SBAS-InSAR的高压输电线路形变监测OA
Deformation Monitoring of High-voltage Transmission Lines Based on SBAS-InSAR
针对山区布设的高压输电线路存在相干点稀少、形变监测困难的问题,提出一种改进的SBAS-InSAR方法.首先,采用加权振幅离差法与非局部加权相位滤波法分别识别永久散射体与分布式散射体,以提升低相干区域的点目标密度;其次,引入相邻干涉图平均法来抑制大气相位延迟的影响.基于25景Sentinel-1A影像,对广东省肇庆市3条高压输电线路进行形变监测,结果表明:与传统振幅离差法相比,所提方法在获取相干点密度方面展现出优势,其密度值成倍增加;在监测期内,利用所提方法获取3条线路的形变信息,总体平均形变速率为-13.99 mm/a,最大形变速率达-35mm/a,整体呈沉降趋势.其中,1条线路形变较小,状态相对稳定,另外2条线路沉降显著,需重点关注其沿线杆塔的形变.由此验证了改进SBAS-InSAR方法在线状基础设施形变监测中的有效性,可为输电线路的安全运维提供技术依据.
This paper proposes an improved SBAS-InSAR method to address the problems of sparse coherent points and difficulty in deformation monitoring for high-voltage transmission lines deployed in mountainous areas.Permanent scatterers(PS)and distributed scatterers(DS)are extracted using a weighted amplitude dispersion method and nonlocal weighted phase filtering,respectively,thereby enhancing point density in low-coherence regions.To further suppress the effect of atmospheric phase delay,the adjacent interferogram averaging method is applied.A case study with 25 Sentinel-1A images over three transmission lines in Zhaoqing,Guangdong province demonstrates the method's effectiveness.The results indicate that compared with the conventional amplitude dispersion approach,the proposed method shows the advantage in obtaining coherent point density and the density value is multiplied.During the monitoring period,deformation information of three transmission lines is obtained using the proposed method.The overall average deformation velocity is-13.99 mm/a,with a maximum deformation velocity reaching-35 mm/a,indicating an overall subsidence trend.Among them,one line exhibits relatively small deformation and remained stable,whereas the other two lines show significant subsidence,and the deformation of towers along these lines requires close attention.The results confirm that the proposed SBAS-InSAR approach provides a reliable tool for deformation monitoring of linear infrastructure and supports the safe operation and maintenance of transmission lines.
蒋畅;王中奥;王磊
广东电网有限责任公司电力科学研究院,广东 广州 510080广东电网有限责任公司电力科学研究院,广东 广州 510080广东电网有限责任公司电力科学研究院,广东 广州 510080
信息技术与安全科学
SBAS-InSAR输电线路形变监测加权振幅离差非局部加权相位滤波干涉图求平均
SBAS-InSARtransmission linedeformation monitoringweighted amplitude disparitynonlocal weighted phase filteringinterferogram averaging
《广东电力》 2026 (3)
97-107,11
中国南方电网有限责任公司科技项目(GDKJXM20231426)
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