基于SAR像素振幅离差法的建(构)筑物变化监测——以广州市白云区为例  

Construction changing monitoring based on SAR pixel amplitude deviation method:A case study of Baiyun District,Guangzhou

作　　者：丁伟[1] 许兵[2] 冯志雄 邹煜星 胡妙文 Ding Wei;Xu Bing;Feng Zhixiong;Zou Yuxing;Hu Miaowen(Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China;School of Geosciences and Info-Physics,Central South University,Changsha 410083,China)

机构地区：[1]广州市城市规划勘测设计研究院,广州510060 [2]中南大学地球科学与信息物理学院,长沙410083

出　　处：《工程勘察》2024年第10期61-65,共5页Geotechnical Investigation & Surveying

基　　金：SAR技术在城市建筑监测和地表形变监测中的应用(2020科研(测)01).

摘　　要：利用遥感影像可以对建(构)筑物的变化进行快速监测,光学遥感影像精度较高,但人工核查工作量大,且易受到云雾等影响,在中国沿海地区难以实现连续快速动态监测。借助SAR影像全天时全天候的优势,本文利用振幅离差法对20110213和20120315两景覆盖广州市白云区的TerraSAR-X数据进行处理,并结合不稳定的像素点在建(构)筑物上的分布特征,提取研究区域内所有建(构)筑物变化区域,然后将振幅离差法提取的结果与光学影像提取的所有发生变化的建(构)筑物结果进行对比。结果表明,本文采用SAR像素振幅离差方法提取的变化建(构)筑物查全率为90.3%,工作量减少了83.6%,可实现建(构)筑物的快速高效监测。另外,本文也针对单一使用高分辨率SAR数据监测建(构)筑物的优势和不足进行了探讨。The changes of structures and buildings can be monitored rapidly by remote sensing images.The optical remote sensing image has a high accuracy,but the manual verification work is heavy,and susceptible to cloud and fog,so it is difficult to realize continuous rapid dynamic monitoring in China′s coastal areas.With the advantage of all-day and all-weather SAR images,this paper adopts amplitude deviation method to extract stable pixels from TerraSAR-X SAR images,and processes the 20110213 and 20120315 landscape images located in Baiyun District,Guangzhou,to extract the change areas by the distribution characteristics of unstable pixels on the structures and constructions in the study area.Compared with the results monitored by optical image,the workload of the proposed method is reduced by 83.6%under the condition that the recall ratio is less than 90.3%,which has realized the fast and efficient monitoring of structures.In addition,the advantages and disadvantages of using high resolution SAR data to monitor structures are also discussed.

关 键 词：振幅离差法 建(构)筑物变化监测 白云区 TERRASAR-X 

分 类 号：P237[天文地球—摄影测量与遥感]