摘要
针对在地理国情监测项目中遇到的时间序列InSAR技术获取的地表形变结果存在空间采样率不足的现状,该文以传统小基线集干涉测量方法为基础,融合分布式目标提取地表缓慢形变信息。以TerraSAR-X星载SAR SLC影像为数据源,对融合后的方法进行验证,获取了研究区域时间序列地表平均形变速率。结果表明,融合分布式目标的小基线集算法可以有效提高监测区域地表形变信息的获取,在非城市地区及传统方法不能提取高相干稳定点目标的区域克服了原有方法的缺点,表现出了很好的适用性。
Aiming at the insufficiency of the study on traditional time series InSAR technique when it comes to extract more ground deformation information, the paper introduced a new kind of SBAS-InSAR method which can extract ground deformation to a great extent by merging distributed scatterers into standard processing. Moreover, TerraSAR-X satellite SAR data was fed into the method proposed in this parper to verify its validity, the ground velocity of deformation subsequently produced. Result showed that merging distributed scatterers into traditional SBAS-InSAR method could efficiently improve the acquisi- tion of ground deformation information in the monitoring area, which could overcome the shortcomings of the existing methods in the non-urban areas with good applicability.
出处
《测绘科学》
CSCD
北大核心
2017年第7期52-56,93,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41304010)
关键词
地表形变反演
分布式目标
稳定点目标
小基线干涉测量
inversion of ground deformation
distributed scatterers (DS)
stable scatterers
small baseline subset-InSAR(SBAS-InSAR)