Citation: | CHEN Shuting, XIA Yiqiang, CHEN Lanlan, XIAO Haiping. Slope DEM extraction and accuracy analysis based on multi-source reference data[J]. Nonferrous Metals Science and Engineering, 2024, 15(3): 432-439. DOI: 10.13264/j.cnki.ysjskx.2024.03.013 |
Reference DEM is indispensable and important data in the accuracy analysis of InSAR DEM extraction. Considering the abundance of available DEM data, how to choose reliable reference DEMs to meet the accuracy requirements of DEM extraction for different terrains is an urgent problem in DEM extraction.In this article, ALOS DEM of 12.5 m, STRM DEM of 30 m, and STRM DEM of 90 m were selected as reference DEMs. Based on two Sentinel-1A images from 2020, DEM data on slopes in some areas of Dexing City was extracted. InSAR technology was used to extract S1A DEM data from the experimental area, and ASTGTM DEM data as a reference. About 300 detection points were randomly selected using the detection point method, the corresponding evaluation indicators were selected, and accuracy checks on S1A DEMs extracted from different reference DEMs were performed. The research results show that the extracted S1A DEM has a higher accuracy when ALOS DEM with a resolution of 12.5 m is used as the external DEM, with its RMSE in experimental area A of 9.412 m. The extracted S1A DEM has a relatively lower accuracy when ALOS DEM with a resolution of 90 m is used as the external DEM, with its RMSE in experimental area A of 10.293 m. This experiment guides extracting DEM from different terrains and can help scholars better choose reference DEM when conducting InSAR experiments. The research results can provide important technical support for slope disasters and early warning.
[1] |
杜青松, 李国玉, 彭万林, 等. 利用InSAR技术获取高寒高海拔地区高精度DEM[J]. 测绘通报, 2021(3):44-49.
|
[2] |
付波霖, 耿仁方, 李颖,等. 多频率InSAR提取沼泽湿地DEM精度对比分析[J]. 测绘通报, 2019(10):1-7.
|
[3] |
王利娟, 李恒凯. 基于InSAR技术的离子型稀土矿区DEM提取分析[J]. 稀土, 2021, 42(2):56-64.
|
[4] |
李金超, 高飞, 陶庭叶,等. 基于InSAR技术的淮南矿区DEM重建及精度分析[J]. 地球物理学进展, 2019, 34(2):435-441.
|
[5] |
李东,侯西勇.沿海低山丘陵区DEM提取及精度分析[J].测绘通报,2021(增刊1):61-64.
|
[6] |
万雷,周春霞,鄂栋臣,等. 基于InSAR和ICESat的南极冰盖地区DEM提取和精度分析[J].冰川冻土,2015,37(5):1160-1167.
|
[7] |
XIE Y Z, ZHU J J, FU H. Q,et al. A review of under lying to pography estimation over forest areas by InSAR: theory, advances, challenges and perspectives[J]. Journal of Central South University, 2020, 27(4): 997-1011.
|
[8] |
KARABÖRK H, MAKINECI H B, ORHAN O,et al. Accuracy assessment of DEMs derived from multiple SAR data using the InSAR technique[J]. Arabian Journal for Science and Engineering, 2021(46): 5755-5765.
|
[9] |
杨珍,孙鹏超,谢青,等.高分三号卫星影像制作DEM的实验[J].测绘科学,2020, 45(3): 53-60.
|
[10] |
蒋厚军,廖明生,张路,等.高分辨率雷达卫星COSMO-SkyMed干涉测量生成DEM的实验研究[J].武汉大学学报(信息科学版),2011,36(9):1055-1058.
|
[11] |
周伟,陈尔学,刘国林,等. 基于ALOS极化干涉SAR数据的DEM提取方法研究[J].遥感技术与应用,2013,28(1):44-51.
|
[12] |
李新武, 郭华东, 李震. ENVISAT/ASAR多角度干涉雷达数据山区DEM生成及精度分析[J]. 遥感学报, 2009, 13(2): 276-281.
|
[13] |
吴艳兰, 胡海, 胡鹏, 等. 数字高程模型误差及其评价的问题综述[J]. 武汉大学学报(信息科学版), 2011, 36(5):568-574.
|
[14] |
赵尚民,程维明,蒋经天,等.资源三号卫星DEM数据与全球开放DEM数据的误差对比[J].地球信息科学学报,2020,22(3):370-378.
|
[15] |
於佳宁,刘凯,张冰玥,等.中国区域TanDEM-X 90mDEM高程精度评价及其适用性分析[J].地球信息科学学报,2021,23(4):646-657.
|
[16] |
丁夏萌, 张继贤, 郭婧, 等.基于ICESat-2 ATLAS数据的DEM高程精度评价[J].测绘通报, 2022(12):84-90.
|
[17] |
王少特, 张耀平, 刘书瑶, 等. 某矿山地表移动及岩层监测稳定性研究[J].有色金属科学与工程, 2023, 14(4):543-552.
|
[18] |
郭乐萍, 岳建平, 岳顺. 基于SARscape的InSAR数据相位解缠方法研究[J]. 地理空间信息, 2018, 16(3):20-22.
|
[19] |
武文娇, 章诗芳, 赵尚民. SRTM1 DEM与ASTERGDEM V2数据的对比分析[J]. 地球信息科学学报, 2017, 19(8):1108-1115.
|
[20] |
DAI Y Q, REN J W, SHEN X H, et al. Precision estimation and geomorphological analysis based on the DEM generated by InSAR: taking Damxung-Yangbajain area as an example[J]. Earth Quake Science, 2009, 22(3):263-269.
|
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