A ring detection method for levee features extraction based on airborne LiDAR data

doi:10.11947/j.AGCS.2020.20200194

Abstract

Abstract: Extracting levee features (e.g. central lines, levee crowns, levee slopes and sections) has great significance for detecting demaged levees and security assessment. Airborne LiDAR can be utilized to produce continuous surface data DTM.Thus, it has its advantage of lighter workload and higher precision when extracting levee features. In this paper, it is proposed a method to extract levee features with airborne LiDAR-derived DTM. Firstly, central line of levees is generated by ring detection. Compared to conventional methods, ring detection is tolerant to deformated or broken central lines caued by levee erosion or collapsion. Secondly, on this basis, levee crown and slope data is producted according to the standard of levee slope classification. Lastly, equidistant section lines of levees are extracted from ring intersections, and automatically generated the levee section. An empirical research of our method was conducted on 120 km of levees in Gongshuangcha detention basin in the Dongting Lake area, China.This method performed well in accurate extraction of levee engineering information, and has great application potential.

Key words: airborne LiDAR, levee, features, levee detection, DTM

CLC Number:

P208

SHEN Dingtao, QIAN Tianlu, XIA Yu, CHEN Beiqing, ZHANG Yu, WANG Jiechen. A ring detection method for levee features extraction based on airborne LiDAR data[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(2): 203-214.

References

[1] OPOLOT E. Application of remote sensing and geographical information systems in flood management:A review[J]. Research Journal of Applied Sciences, Engineering and Technology, 2013, 6(10):1884-1894.
[2] 中华人民共和国住房和城乡建设部. GB 50286-2013堤防工程设计规范[S]. 北京:中国计划出版社, 2013. MOHURD (Ministry of Housing and Urban-Rural Development of the People's Republic of China). GB 50286-2013 Code for design of levee project[S]. Beijing:China Planning Press, 2013.
[3] CASAS A, RIAÑO D, GREENBERG J, et al. Assessing levee stability with geometric parameters derived from airborne LiDAR[J]. Remote Sensing of Environment, 2012, 117:281-288.
[4] DABBIRU L, AANSTOOS J V, YOUNAN N H. Earthen levee slide detection via automated analysis of synthetic aperture radar imagery[J]. Landslides, 2016, 13(4):643-652.
[5] 熊淑娣, 万芳琦, 张蕾. 水库与堤防专题地理信息数据库建设[J]. 测绘科学, 2017, 42(1):71-75, 81. XIONG Shudi, WAN Fangqi, ZHANG Lei. Construction of thematic geographic information database of reservoir and dike[J]. Science of Surveying and Mapping, 2017, 42(1):71-75, 81.
[6] 韩旭, 马贵生, 蒋园, 等. 国内外堤防工程数据库发展综述[J]. 人民长江, 2019, 50(S1):346-349. HAN Xu, MA Guisheng, JIANG Yuan, et al. Overview of the development of dike engineering database at home and abroad[J].Yangtze River,2019, 50(S1):346-349.
[7] 杨俊杰, 徐志敏, 马瑞, 等. 基于GIS的堤防隐患探测分析系统及其应用[J]. 长江科学院院报, 2019, 36(10):141-145. YANG Junjie, XU Zhimin, MA Rui, et al. Research and application of detection and analysis system for hidden danger of dyke based on GIS[J]. Journal of Yangtze River Scientific Research Institute, 2019, 36(10):141-145.
[8] 杨子桐, 黄显峰, 方国华, 等. 基于云模型的堤防工程风险评价方法与应用[J]. 武汉大学学报(工学版), 2019, 52(7):572-580. YANG Zitong, HUANG Xianfeng, FANG Guohua, et al. Risk assessment method and application of embankment engineering based on cloud model[J]. Engineering Journal of Wuhan University, 2019, 52(7):572-580.
[9] 张健, 潘斌, 陈文龙, 等. 基于雷达卫星时序分析技术的荆江沿岸堤防形变研究[J]. 长江科学院院报, 2019, 36(10):23-27. ZHANG Jian, PAN Bin, CHEN Wenlong, et al. Detection of deformation along Jingjiang segment of Yangtze River dyke based on radar satellite time series analysis technique[J]. Journal of Yangtze River Scientific Research Institute, 2019, 36(10):23-27.
[10] BLAKE L. Levee networks in low-lying coastal areas[J]. ACSM Bulletin, 2010, 246:10-16.
[11] BAKULA K, OSTROWSKI W, SZENDER M, et al. Possibilities for using LiDAR and photogrammetric data obtained with an unmanned aerial vehicle for levee monitoring[C]//The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Prague:[s.n.], 2016.
[12] BAKUŁA K, SALACH A, WZIATEK D Z, et al. Evaluation of the accuracy of LiDAR data acquired using a UAS for levee monitoring:Preliminary results[J]. International Journal of Remote Sensing, 2017, 38(8-10):2921-2937.
[13] 陈锐志, 王磊, 李德仁, 等. 导航与遥感技术融合综述[J]. 测绘学报, 2019, 48(12):1507-1522. DOI:10.11947/j.AGCS.2019.20190446. CHEN Ruizhi, WANG Lei, LI Deren, et al. A survey on the fusion of the navigation and the remote sensing techniques[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12):1507-1522. DOI:10.11947/j.AGCS.2019.20190446.
[14] JIANG Chen, ZHANG Shubi, CAO Yizhi, et al. A robust fault detection algorithm for the GNSS/INS integrated navigation systems[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(1):12-24. DOI:10.11947/j.JGGS.2020.0102.
[15] 杨必胜, 梁福逊, 黄荣刚. 三维激光扫描点云数据处理研究进展、挑战与趋势[J]. 测绘学报, 2017, 46(10):1509-1516. DOI:10.11947/j.AGCS.2017.20170351. YANG Bisheng, LIANG Fuxun, HUANG Ronggang. Progress, challenges and perspectives of 3D LiDAR point cloud processing[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1509-1516. DOI:10.11947/j.AGCS.2017.20170351.
[16] 黄先锋, 李卉, 王潇, 等. 机载LiDAR数据滤波方法评述[J]. 测绘学报, 2009, 38(5):466-469. DOI:10.3321/j.issn:1001-1595.2009.05.014. HUANG Xianfeng, LI Hui, WANG Xiao, et al. Filter algorithms of airborne LiDAR data:Review and prospects[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(5):466-469. DOI:10.3321/j.issn:1001-1595.2009.05.014.
[17] 张兴福, 刘成. 综合EGM2008模型和SRTM/DTM2006.0剩余地形模型的GPS高程转换方法[J]. 测绘学报, 2012, 41(1):25-32. ZHANG Xingfu, LIU Cheng. The approach of GPS height transformation based on EGM2008 and SRTM/DTM2006.0 residual terrain model[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(1):25-32.
[18] ZHANG Yongjun, XIONG Xiaodong, WANG Mengqiu, et al. A fast aerial image matching method using airborne LiDAR point cloud and POS data[J]. Journal of Geodesy and Geoinformation Science, 2019, 2(1):26-36. DOI:10.11947/j.JGGS.2019.0104.
[19] THATCHER C, LIM S, PALASEANU-LOVEJOY M, et al. Lidar-based mapping of flood control levees in South Louisiana[J]. International Journal of Remote Sensing, 2016, 37(24):5708-5725.
[20] BISHOP M J, MCGILL T E, TAYLOR S R. Processing of Laser Radar data for the extraction of an along-the-levee-crown elevation profile for levee remediation studies[C]//Proceedings of SPIE 5412, Laser Radar Technology and Applications IX. Orlando:SPIE, 2004.
[21] PALASEANU-LOVEJOY M, THATCHER C A, BARRAS J A. Levee crest elevation profiles derived from airborne lidar-based high resolution digital elevation models in south Louisiana[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 91:114-126.
[22] CHOUNG Y. Accuracy assessment of the levee lines generated using lidar data acquired in the Nakdong River basins, South Korea[J]. Remote Sensing Letters, 2014, 5(10):853-861.
[23] 姚春静, 游丽娜, 王英. 基于语义特征的堤防外坡激光脚点分割[J]. 遥感学报, 2015, 19(2):209-218. YAO Chunjing, YOU Li'na, WANG Ying. Embankment slope extraction based on semantic features using LiDAR data[J]. Journal of Remote Sensing, 2015, 19(2):209-218.
[24] CHOUNG Y. Mapping levees using LiDAR data and multispectral orthoimages in the Nakdong River Basins, south Korea[J]. Remote Sensing, 2014, 6(9):8696-8717.
[25] BISHOP M, DUNBAR J B, PEYMAN-DOVE L P. Integration of remote sensing (LIDAR, electromagnetic conductivity) and geologic data toward the condition assessment of levee systems[C]//Proceedings of SPIE 4886, Remote Sensing for Environmental Monitoring. Crete:SPIE, 2003.