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基于SBAS的矿区形变监测研究 被引量:123

Ground Subsidence Monitoring in Mining Area Using DInSAR SBAS Algorithm
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摘要 由于使用的SAR图像较少,缺乏多余观测,传统的DInSAR测得的形变可靠性较差。此外,受InSAR观测周期以及空间和时间基线的限制,多数情况下很难将离散的DInSAR观测连接起来,获得时间上连续的沉降场,从而揭示研究区域的沉降演化情况。运用小基线集(SBAS)技术,通过虚拟观测值的方法,对DInSAR获取的相位进行后处理,以获取冷水江矿区的沉降序列图,揭示矿区沉降漏斗的发展和演化情况。空间基线的约束有效地减弱DEM误差的影响,同时观测量的增加又提高监测结果的精度和可靠性。 It is difficult to get robust deformation results using conventional differential InSAR method,due to lack of enough SAR images jointly used in SAR interferometry.Small baseline subset(SBAS) DInSAR algorithm is used to monitor the temporal evolution of surface deformation in mining area.A temporal deformation sequence of Lengshuijiang mining area of Hunan province is retrieved from DInSAR phase based on virtual observation method and SBAS algorithm.The retrieved deformation sequence reveals the development and evolution of the subsidence "bowl" of the mining area.The result demonstrates that the constraints of small spatial baseline limits the propagation of DEM error and at the same time the method of virtual observation improves the accuracy and robustness of deformation monitoring with InSAR.
出处 《测绘学报》 EI CSCD 北大核心 2011年第1期52-58,共7页 Acta Geodaetica et Cartographica Sinica
基金 国家自然科学基金(40774003 40974006) 湖南省国土资源厅矿产资源保护与合理开发利用科研项目 教育部新世纪优秀人才支持计划(NCET-08-0570) 国家西部1:50000空白区测图工程2009年度研究课题 中南大学研究生教育创新工程(2009ssxt73 1343-74334000023)
关键词 DINSAR 小基线集 矿区沉降 变形监测 differential InSAR small baseline subset mining subsidence deformation monitoring
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参考文献21

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