| 一种改进的InSAR城市地面沉降监测精度评价方法 |
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| 引用本文： | 杨帆,王道顺,张磊,张子文.一种改进的InSAR城市地面沉降监测精度评价方法[J].测绘通报,2019,0(2):54-57,85. |
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| 作者姓名： | 杨帆 王道顺 张磊 张子文 |
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| 作者单位： | 辽宁工程技术大学测绘与地理科学学院,辽宁 阜新,123000;广东工业大学信息工程学院,广东 广州,510000 |
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| 基金项目： | 辽宁省教育厅重点实验室基础研究项目（LJZS001）；卫星测绘技术与应用国家测绘地理信息局重点实验室项目（KLSMTA-201707） |
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| 摘 要： | 针对InSAR沉降监测精度评定方法的单一性，综合考虑建筑物自身沉降和时空基准难以统一的问题，构建了改进的反距离权重插值模型。以宁波东部新城某沉降区域的PS-InSAR监测结果为试验数据，在统一时空基准的前提下，利用改进IDW插值模型对监测结果进行精度评定，并以交叉验证的方式验证了该插值方法的准确性。试验证明：通过对比两个实测水准点，使用改进的IDW插值获取的InSAR监测结果误差为0.3和0.8，相比于普通IDW和Kriging方法提高了大约1.1 mm。
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| 关 键 词： | PS InSAR 改进IDW插值 交叉验证 精度评定 |
| 收稿时间： | 2018-04-11 |
| 修稿时间： | 2018-11-21 |
An improved accuracy evaluation method of urban ground subsidence monitoring in InSAR |
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| YANG Fan,WANG Daoshun,ZHANG Lei,ZHANG Ziwen.An improved accuracy evaluation method of urban ground subsidence monitoring in InSAR[J].Bulletin of Surveying and Mapping,2019,0(2):54-57,85. |
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| Authors: | YANG Fan WANG Daoshun ZHANG Lei ZHANG Ziwen |
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| Institution: | 1. School of Geomatics, Liaoning Technology University, Fuxin 123000, China;
2. School of Information Engineering, Guangdong University of Technology, Guangzhou 510000, China |
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| Abstract: | Aiming at the singleness of the method which is to assess InSAR settlement monitoring accuracy, considering the problems of self-sedimentation of buildings and space-time benchmarks difficult to be unified, an improved inverse distance weights interpolation model is proposed. The experimental data are the PS-InSAR monitoring result of a subsidence area in Ningbo New City East, and the accuracy of the monitoring results is evaluated using the improved IDW interpolation model on the premise of a unified space-time reference, and the accuracy of the interpolation method is verified by a cross-validation method. Experiments show that the error of InSAR monitoring results obtained using the improved IDW interpolation is 0.3 and 0.8 by comparing two measured points. Compared to the normal IDW and Kriging methods, it is about 1.1 mm. |
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| Keywords: | PS InSAR improved IDW interpolation cross-validation accuracy evaluation |
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