[1] 侯靖钥,夏元平.江西萍乡时序InSAR形变监测[J].北京测绘,2022,36(11):1514-1518. [2] 游洪,米鸿燕,左小清,等.基于PS与SBAS的InSAR技术对贵阳市主城区沉降监测分析[J].城市勘测,2020(4):74-78. [3] 董少春,种亚辉,胡欢,等.基于时序InSAR的常州市2015—2018年地面沉降监测[J].南京大学学报(自然科学),2019,55(3):370-380. [4] 毕凌宇,孙承志,乔申.基于SBAS-InSAR与MA-PSO-BP的南京河西地区地表沉降监测及预测分析[J].测绘通报,2024(4):48-53. [5] 仝云霄,胡晓佳,杨俊泉,等.基于SBAS-InSAR技术的天津地区地表沉降监测研究[J].地球学报,2025,46(4):875-888. [6] 丁伟,陈展鹏,许兵,等.基于SBAS-InSAR技术的广州市白云区长时序地表形变监测与成因分析[J].测绘通报,2023(4):167-171. [7] YI Shouyong,LAI Guilin,WANG Min,et al.Risk assessment of ground subsidence in Foshan (China)based on the integration of SBAS-InSAR observations and inducing factors[J].Remote Sensing,2025,17(1):108. [8] 吴绿川,王剑辉,符彦.基于InSAR技术和光学遥感的贵州省滑坡早期识别与监测[J].测绘通报,2021(7):98-102. [9] 刘洋,许才军,温扬茂.门源Mw5.9级地震形变InSAR观测及区域断裂带深部几何形态[J].武汉大学学报(信息科学版),2019,44(7):1035-1042. [10] 郝嘉宇,宋闯,能懿菡,等.InSAR观测揭示的杂多MW5.7地震地表形变及发震断层模型[J/OL].大地测量与地球动力学,1-11[2025-12-31].https://doi.org/10.14075/j.jgg.2025.03.108. [11] 曾学宏,赵义花.利用SBAS-InSAR技术分析西宁市地面沉降监测及驱动因素[J].测绘通报,2022(6):137-142. [12] 陈媛媛,魏浩翰,翁建.基于PS-InSAR技术的城市沉降监测与空间分析[J].现代测绘,2018,41(6):10-12. [13] 朱邦彦,唐超,任志忠,等.基于PS-InSAR技术的珠海市地表形变监测与驱动力分析[J].测绘通报,2022(6):108-113. [14] 李达,邓喀中,高晓雄,等.基于SBAS-InSAR的矿区地表沉降监测与分析[J].武汉大学学报(信息科学版),2018,43(10):1531-1537. [15] LU Yanyan,CHEN Deliang,CHEN Yuanyuan.Analysis of spatiotemporal land subsidence patterns of Suzhou city,China,over the past 15years based on multisource SAR data[J].Journal of the Indian Society of Remote Sensing,2022,50(7):1347-1369. [16] ZHANG Peng,GUO Zihao,GUO Shuangfeng,et al.Land subsidence monitoring method in regions of variable radar reflection characteristics by integrating PS-InSAR and SBAS-InSAR techniques[J].Remote Sensing,2022,14(14):3265. [17] ZHOU Lv,LI Xinyi,PAN Yuanjin,et al.Deformation monitoring of long-span railway bridges based on SBAS-InSAR technology[J].Geodesy and Geodynamics,2024,15(2):122-132. [18] 乔申,孙承志,毕凌宇.基于时序InSAR技术的南京市地铁沿线沉降监测分析[J].测绘通报,2024(10):64-70. |