[1] 陈雷.Sentinel-1A数据城区形变监测适用性分析与缺失数据拟合研究[D] .北京:北京建筑大学,2020.
CHEN Lei.Sentinel-1A Data Urban Deformation Monitoring Applicability Analysis and Missing Data Fitting Research [D]. Beijing: Beijing University of Civil Engineering and Architecture, 2020.
[2] 李锁乐,吴宏安,张永红,等.包头市地面沉降高分辨率时序InSAR监测[J] .测绘科学,2018,43(9):76-80.
LI Suole, WU Hongan, ZHANG Yonghong, et al. Land subsidence monitoring in Baotou using high resolution time series InSAR technique from 2013 to 2015 [J]. Science of Surveying and Mapping, 2018, 43(9): 76-80.
[3] FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.
[4] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383.
[5] 王义梅,罗小军,于冰,等.郑州市地面沉降InSAR监测[J] .测绘科学,2019,44(9):100-106.
WANG Yimei, LUO Xiaojun, YU Bing, et al. Monitoring ground subsidence in Zhengzhou with InSAR [J]. Science of Surveying and Mapping, 2019, 44(9): 100-106.
[6] 杨国创,段春磊.联合InSAR和GNSS监测沿海地区地面沉降[J] .测绘通报,2021(6):76-82.
YANG Guochuang, DUAN Chunlei. Joint InSAR and GNSS to monitor land subsidence in coastal areas [J]. Bulletin of Surveying and Mapping, 2021(6): 76-82.
[7] 卢旺达,韩春明,岳昔娟,等.基于Sentinel-1A数据的天津地区PS-InSAR地面沉降监测与分析[J] .遥感技术与应用,2020,35(2):416-423.
LU Wangda, HAN Chunming, YUE Xijuan, et al. Land subsidence monitoring inTianjin with PS-InSAR technique based on Sentinel-1A data[J]. Remote Sensing Technology and Application, 2020, 35(2): 416-423.
[8] 黄其欢,付五洲,岳建平,等.海量时序地基SAR影像相干目标选取[J] .数据采集与处理,2016,31(6):1199-1204.
HUANG Qihuang, FU Wuzhou, YUE Jianping, et al. Selection of coherent targets in large number of time series ground based SAR images [J]. Journal of Data Acquisition and Processing, 2016, 31(6): 1199-1204.
[9] 张志华,胡长涛,张镇,等.基于PS-InSAR上海地区地表沉降监测与分析[J] .自然资源遥感,2022,34(3):106-111.
ZHANG Zhihua, HU Changtao, ZHANG Zhen, et al. PS-InSAR-based monitoring and analysis of surface subsidence in Shanghai [J]. Remote Sensing for Natural Resources, 2022, 34(3): 106-111.
[10] 杨旺,何毅,张立峰,等.甘肃金川矿区地表三维形变InSAR监测[J] .自然资源遥感,2022,34(1):177-188.
YANG Wang, HE Yi, ZHANG Lifeng, et al. InSAR monitoring of 3D surface deformation in Jinchuan mining area, Gansu province [J]. Remote Sensing for Natural Resources, 2022, 34(1): 177-188.
[11] 冯小蔓.基于InSAR技术的地表形变与雪深监测研究[D] .太原:太原理工大学,2020.
FENG Xiaoman.Study on Ground Subsidence and Snow Depth Estimation with InSAR Technology [D]. Taiyuan: Taiyuan University of Technology, 2020.
[12] 李东,侯西勇.利用Sentinel-1A数据监测地表形变案例分析[J] .测绘通报,2020(3):118-122.
LI Dong, HOU Xiyong. A case study of how to measure surface deformationusing Sentinel-1A data [J]. Bulletin of Surveying and Mapping, 2020(3): 118-122.
[13] 王博.基于升降轨InSAR数据的地表二维形变场获取方法研究[D] .郑州:河南大学,2020.
WANG Bo.Research on Acquisition Method of Two-Dimensional Surface Deformation Field Based on Ascending and Descending Orbits InSAR Data [D]. Zhengzhou: Henan University, 2020.
[14] 中国国土资源航空物探遥感中心.DD2014-11地面沉降干涉雷达数据处理技术规程[S] .北京:中国地质调查局,2014.
China Aero Geophysical Survey and Remote Sensing Center for Land and Resources. DD2014-11 Technical Specification for Data Processing of Land Subsidence Interference Radar [S]. Beijing: China Geological Survey, 2014.
[15] 李升甫,向波,孙晓鹏,等.多源遥感技术在复杂山区高速公路地质选线中的应用[J] .重庆交通大学学报(自然科学版),2022,41(4):120-125.
LI Shengfu, XIANG Bo, SUN Xiaopeng, et al. Application of multi-source remote sensing technology in geological route selection of expressway in complex mountain area [J]. Journal of Chongqing Jiaotong University (Natural Science), 2022, 41(4): 120-125. |