Citation: | YANG Anxiu, WU Ziyin, YANG Fanlin, SU Dianpeng, FENG Chengkai, XU Fangzheng. An Automatic Filtering Algorithm of Multi-beam Bathymetry Based on Bidirectional Cloth Simulation[J]. Geomatics and Information Science of Wuhan University, 2022, 47(4): 517-525. DOI: 10.13203/j.whugis20190419 |
[1] |
李家彪. 多波束勘测原理、技术和方法[M]. 北京: 海洋出版社, 1999
Li Jiabiao. Multibeam Sounding Principles, Survey Technologies and Data Processing Methods[M]. Beijing: Ocean Press, 1999
|
[2] |
赵建虎. 现代海洋测绘[M]. 武汉: 武汉大学出版社, 2008
Zhao Jianhu. Modern Marine Surveying and Charting[M]. Wuhan: Wuhan University Press, 2008
|
[3] |
Liu Y, Wu Z Y, Zhao D N, et al. Construction of High-Resolution Bathymetric Dataset for the Mariana Trench[J]. IEEE Access, 2019, 7: 14241-14250
|
[4] |
Yin S R, Lin L, Pope E L, et al. Continental Slope-Confined Canyons in the Pearl River Mouth Basin in the South China Sea Dominated by Erosion, 2004-2018[J]. Geomorphology, 2019, 344: 60-74 doi: 10.1016/j.geomorph.2019.07.016
|
[5] |
Zhou J Q, Wu Z Y, Jin X L, et al. Observations and Analysis of Giant Sand Wave Fields on the Taiwan Banks, Northern South China Sea[J]. Marine Geology, 2018, 406: 132-141 doi: 10.1016/j.margeo.2018.09.015
|
[6] |
Wu Z Y, Jin X L, Cao Z Y, et al. Distribution, Formation and Evolution of Sand Ridges on the East China Sea Shelf[J]. Science in China Series D: Earth Sciences, 2010, 53(1): 101-112
|
[7] |
吴自银, 李家彪, 阳凡林, 等. 一种大陆坡脚点自动识别与综合判断方法[J]. 测绘学报, 2014, 43(2): 170-177 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201402012.htm
Wu Ziyin, Li Jiabiao, Yang Fanlin, et al. An Intergrated Method for Automatic Identification of the Foot Point of Slope[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(2): 170-177 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201402012.htm
|
[8] |
Wang M W, Wu Z Y, Yang F L, et al. Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data Around Yuanzhi Island in the South China Sea[J]. Sensors, 2018, 18(11): 3828 doi: 10.3390/s18113828
|
[9] |
Wu Z Y, Li J B, Jin X L, et al. Distribution, Features, and Influence Factors of the Submarine Topographic Boundaries of the Okinawa Trough[J]. Science China Earth Sciences, 2014, 57(8): 1885-1896 doi: 10.1007/s11430-013-4810-3
|
[10] |
Wu Z Y, Jin X L, Zhou J Q, et al. Comparison of Buried Sand Ridges and Regressive Sand Ridges on the Outer Shelf of the East China Sea[J]. Marine Geophysical Research, 2017, 38(1): 187-198
|
[11] |
阳凡林, 李家彪, 吴自银, 等. 多波束测深瞬时姿态误差的改正方法[J]. 测绘学报, 2009, 38(5): 450-456 doi: 10.3321/j.issn:1001-1595.2009.05.012
Yang Fanlin, Li Jiabiao, Wu Ziyin, et al. The Methods of Removing Instantaneous Attitude Errors for Multibeam Bathymetry Data[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(5): 450-456 doi: 10.3321/j.issn:1001-1595.2009.05.012
|
[12] |
吴自银, 阳凡林, 罗孝文, 等. 高分辨率海底地形地貌——探测处理理论与技术[M]. 北京: 科学出版社, 2018
Wu Ziyin, Yang Fanlin, Luo Xiaowen, et al. High-Resolution Submarine Topography—Theory and Technology for Surveying and Post-Processing[M]. Beijing: China Science Press, 2018
|
[13] |
吴自银, 阳凡林, 李守军, 等. 高分辨率海底地形地貌——可视计算与科学应用[M]. 北京: 科学出版社, 2018
Wu Ziyin, Yang Fanlin, Li Shoujun, et al. High-Resolution Submarine Topography——Visual Computation and Scientific Applications[M]. Beijing: China Science Press, 2018
|
[14] |
赵祥鸿, 暴景阳, 欧阳永忠, 等. 利用BP神经网络剔除多波束测深数据粗差[J]. 武汉大学学报·信息科学版, 2019, 44(4): 518-524 doi: 10.13203/j.whugis20160336
Zhao Xianghong, Bao Jingyang, Ouyang Yongzhong, et al. Detecting Outlier of Multibeam Sounding with BP Neural Network[J]. Geomatics and Information Science of Wuhan University, 2019, 44(4): 518-524 doi: 10.13203/j.whugis20160336
|
[15] |
Guenther G C, Green J E. Improved Depth Selection in the Bathymetric Swath Survey System (BS3) Combined Offline Processing (COP) Algorithm[R]. National Oceanic and Atmospheric Administration, Technical Report OTES-10, Department of Commerce, Rockvill, MD, 1982
|
[16] |
Ware C, Slipp L, Wong K W, et al. A System for Cleaning High Volume Bathymetry[J]. International Hydrographic Review, 1992, 69: 77-94
|
[17] |
Du Z, Wells D E, Mayer L A. An Approach to Automatic Detection of Outliers in Multibeam Echo Sounding Data[J]. Hydrographic Journal, 1996, 79: 19-25
|
[18] |
Eeg J. On the Identification of Spikes in Soundings[J]. International Hydrographic Review, 2015, 72(1): 33-41
|
[19] |
Ladner R W, Elmore P, Perkins A L, et al. Automated Cleaning and Uncertainty Attribution of Archival Bathymetry Based on a Priori Knowledge[J]. Marine Geophysical Research, 2017, 38(3): 291-301 doi: 10.1007/s11001-017-9304-9
|
[20] |
Mann M, Agathoklis P, Antoniou A. Automatic Outlier Detection in Multibeam Data Using Median Filtering[C]// IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, BC, Canada, 2001
|
[21] |
王乐洋, 陈汉清. 多波束测深数据处理的抗差最小二乘配置迭代解法[J]. 测绘学报, 2017, 46(5): 658-665 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201705018.htm
Wang Leyang, Chen Hanqing. Multi-beam Bathymetry Data Processing Using Iterative Algorithm of Robust Least Squares Collocation[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(5): 658-665 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201705018.htm
|
[22] |
黄贤源, 隋立芬, 翟国君, 等. 利用Bayes估计进行多波束测深异常数据探测[J]. 武汉大学学报·信息科学版, 2010, 35(2): 168-171 http://ch.whu.edu.cn/article/id/856
Huang Xianyuan, Sui Lifen, Zhai Guojun, et al. Outliers Detection of Multi-Beam Data Based on Bayes Estimation[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 168-171 http://ch.whu.edu.cn/article/id/856
|
[23] |
阳凡林, 刘经南, 赵建虎. 多波束测深数据的异常检测和滤波[J]. 武汉大学学报·信息科学版, 2004, 29(1): 80-83 http://ch.whu.edu.cn/article/id/4687
Yang Fanlin, Liu Jingnan, Zhao Jianhu. Detecting Outliers and Filtering Noises in Multi-beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83 http://ch.whu.edu.cn/article/id/4687
|
[24] |
黄贤源, 翟国君, 隋立芬, 等. 最小二乘支持向量机在海洋测深异常值探测中的应用[J]. 武汉大学学报·信息科学版, 2010, 35(10): 1188-1191 http://ch.whu.edu.cn/article/id/1072
Huang Xianyuan, Zhai Guojun, Sui Lifen, et al. Application of Least Square Support Vector Machine to Detecting Outliers of Multi-beam Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1188-1191 http://ch.whu.edu.cn/article/id/1072
|
[25] |
Lecours V, Dolan M F J, Micallef A, et al. A Review of Marine Geomorphometry, the Quantitative Study of the Seafloor[J]. Hydrology and Earth System Sciences, 2016, 20(8): 3207-3244 doi: 10.5194/hess-20-3207-2016
|
[26] |
Calder B R, Mayer L A. Automatic Processing of High-Rate, High-Density Multibeam Echosounder Data[J]. Geochemistry, Geophysics, Geosystems, 2003, 4(6): 1048
|
[27] |
Vasquez M E. Tuning the CARIS Implementation of CUBE for Patagonian Waters[D]. Fredericton: University of New Brunswick, 2007
|
[28] |
Park Y, Jung N D, Kim J S, et al. Performance Validation of Surface Filter Based on CUBE Algorithm for Eliminating Outlier in MultiBeam Echo Sounding[J/OL]. https://www.hydrographicsociety.org/documents/hydrographicsociety.org/downloads/ifhs_news_no_1_-_yosup_park_et_al.pdf, 2013
|
[29] |
黄谟涛, 翟国君, 柴洪洲, 等. 检测多波束测深异常数据的CUBE算法模型解析[J]. 海洋测绘, 2011, 31(4): 1-4 doi: 10.3969/j.issn.1671-3044.2011.04.001
Huang Motao, Zhai Guojun, Chai Hongzhou, et al. Analysis on the Mathematical Models of CUBE Algorithm for the Detection of Abnormal Data in Multibeam Echosounding[J]. Hydrographic Surveying and Charting, 2011, 31(4): 1-4 doi: 10.3969/j.issn.1671-3044.2011.04.001
|
[30] |
赵荻能, 吴自银, 李家彪, 等. CUBE曲面滤波参数联合优选关键技术及应用[J]. 测绘学报, 2019, 48(2): 245-255 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201902015.htm
Zhao Dineng, Wu Ziyin, Li Jiabiao, et al. The Key Technology and Application of Parameter Optimization Combined CUBE and Surface Filter[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(2): 245-255 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201902015.htm
|
[31] |
Weil J. The Synthesis of Cloth Objects[J]. ACM SIGGRAPH Computer Graphics, 1986, 20(4): 49-54 doi: 10.1145/15886.15891
|
[32] |
Long J, Burns K, Yang J. Cloth Modeling and Simulation: A Literature Survey[J]. Digital Human Modeling, 2011, DOI: 10.1007/978-3-642-21799-9_35
|
[33] |
Zhang W M, Qi J B, Wan P, et al. An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation[J]. Remote Sensing, 2016, 8(6): 501 doi: 10.3390/rs8060501
|
[34] |
郭军, 刘胜旋, 关永贤, 等. 浅水多波束系统SONIC 2024在码头测深中的应用[J]. 测绘工程, 2016, 25(7): 46-50 https://www.cnki.com.cn/Article/CJFDTOTAL-CHGC201607010.htm
Guo Jun, Liu Shengxuan, Guan Yongxian, et al. Application of SONIC 2024 Multibeam System to the Terminal Survey[J]. Engineering of Surveying and Mapping, 2016, 25(7): 46-50 https://www.cnki.com.cn/Article/CJFDTOTAL-CHGC201607010.htm
|
[35] |
Calder B. Automatic Statistical Processing of Multibeam Echosounder Data[J]. International Hydrographic Review, 2003, 4(1): 53-68
|
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