| 结合KSTEST统计检验方法的联合像素时序干涉SAR处理技术 |
| |
| 引用本文： | 张金宝,吕孝雷,卢晓军.结合KSTEST统计检验方法的联合像素时序干涉SAR处理技术[J].测绘通报,2017,0(8):84-87. |
| |
| 作者姓名： | 张金宝 吕孝雷 卢晓军 |
| |
| 作者单位： | 1. 中国科学院电子学研究所, 北京 100190;2. 中国科学院空间信息处理与应用系统技术院重点实验室, 北京 100190;3. 中国科学院大学, 北京 100049;4. 中国国际工程咨询公司, 北京 100048 |
| |
| 基金项目： | 中科院"百人计划"项目，民政部国家减灾中心项目 |
| |
| 摘 要： | 联合像素干涉SAR处理技术属于第二代时序干涉SAR技术，技术流程分为3步：联合像素信号模型建立，拟合优度检验，空域自适应滤波。本文在一维KSTEST统计检验方法基础上，提出了基于多维联合像素的非参数拟合优度检验方法，利用实测数据将该方法与传统的多时相干涉SAR技术结果对比，使形变监测点空间密度得到有效提升，形变监测能力得到进一步提高。
|
| 关 键 词： | 联合像素 干涉SAR 分布式散射点 拟合优度检验 KSTEST 多时相干涉SAR |
| 收稿时间： | 2016-12-12 |
| 修稿时间： | 2017-03-15 |
Joint Scatterers Processing for Time-Series SAR Interferomtry with KSTEST Inference |
| |
| ZHANG Jinbao,L Xiaolei,LU Xiaojun.Joint Scatterers Processing for Time-Series SAR Interferomtry with KSTEST Inference[J].Bulletin of Surveying and Mapping,2017,0(8):84-87. |
| |
| Authors: | ZHANG Jinbao L Xiaolei LU Xiaojun |
| |
| Institution: | 1. Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China;2. Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. China International Engineering Consulting Corporation, Beijing 100048, China |
| |
| Abstract: | Joint scatterers InSAR is the second-generation time-series InSAR technology, comprised of three technical procedures: building a joint scatterers signal model, performing a goodness-of-fit test, and conducting a spatial adaptive filtering.Based on one-dimensional KSTEST inference, the essay advances method of non-parametric goodness-of-fit test based on joint scatterers.In comparison with the results of conventional multi-temporal InSAR, the testing data based on the new methods have attested to an effective elevation in the spatial density of deformation monitoring points and a further improvement in the deformation monitoring capacity. |
| |
| Keywords: | joint scatterers InSAR distributed scatterers goodness-of-fit test KSTEST multi-temporal InSAR |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《测绘通报》浏览原始摘要信息 |
| 点击此处可从《测绘通报》下载免费的PDF全文 |
|
