顾及形态差异的TIN-DDM地形复杂度度量方法

doi:10.11947/j.AGCS.2023.20220074

测绘学报 ›› 2023, Vol. 52 ›› Issue (6): 1010-1021.doi: 10.11947/j.AGCS.2023.20220074

顾及形态差异的TIN-DDM地形复杂度度量方法

季宏超^1,2, 董箭¹, 李树军¹, 张志强¹, 唐露露¹

1. 海军大连舰艇学院军事海洋与测绘系, 辽宁大连 116018;
2. 海图信息中心, 天津 300450

收稿日期:2022-02-14 修回日期:2022-06-22 发布日期:2023-07-08
通讯作者: 董箭 E-mail:navydj@163.com
作者简介:季宏超(1993-),男,硕士生,研究方向为数字水深模型的处理及其应用。E-mail:jihongchao324459@163.com
基金资助:
国家自然科学基金(42071439;41901320;41871369);海军大连舰艇学院科研发展基金(DJYKYKT2021-025)

TIN-DDM terrain complexity measurement method considering topographic forms differences

JI Hongchao^1,2, DONG Jian¹, LI Shujun¹, ZHANG Zhiqiang¹, TANG Lulu¹

1. Department of Military Oceanography and Hydrography & Cartography, Dalian Naval Academy, Dalian 116018, China;
2. Chart Information Center, Tianjin 300450, China

Received:2022-02-14 Revised:2022-06-22 Published:2023-07-08
Supported by:
The National Natural Science Foundation of China (Nos. 42071439; 41901320; 41871369); Research and Development Foundation of Dalian Naval Academy (No. DJYKYKT2021-025)

摘要/Abstract

摘要： 地形复杂度是海底地形形态研究领域的一个综合性参数,合理构建TCI计算模型是实现度量DDM表面地形形态变化的重要环节之一。目前TIN-DDM地形复杂度度量方法所建立的TCI计算模型,均无法较好地以采样点TCI值比较的方式反映出其所在不同地形单元间形态变化特征的差异。针对此问题,本文提出了一种充分顾及形态差异的TIN-DDM地形复杂度度量方法。该方法在分析滚动球变换原理的基础上,阐明了TIN-DDM在滚动球变换过程中采样点的深度变化与其TCI的关联性,分析了最佳滚动球半径的选取原则,构建了采样点TCI计算模型并进行优化处理,最后通过TCI内插复杂场的方式实现了TIN-DDM地形复杂度的有效度量。试验结果表明,本文方法具有良好的地形复杂度度量效果,所构建的TCI计算模型可较好区分采样点所表达局部地形形态的差异,且相对于对比方法,依据本文方法TCI重构的DDM具有更高的精度。

关键词: 地形复杂度, TCI计算模型, TIN-DDM, 滚动球变换, 复杂场, DDM重构

Abstract: Terrain complexity is a comprehensive parameter in the research field of seabed topographic forms, and reasonable construction of TCI calculation model is one of the important links to measure the changes of DDM surface topography. At present, the TCI calculation models established by the TIN-DDM terrain complexity measurement method cannot well reflect the difference in the topographical change characteristics between different terrain units where they are located by comparing the TCI values of the sampling points, and aiming at this problem, this paper proposes a TIN-DDM terrain complexity measurement method fully considering topographic forms differences. On the basis of analyzing the principle of rolling ball transformation, this method clarifies the correlation between the depth change of the sampling point and its TCI in the process of TIN-DDM rolling ball transformation, analyzes the selection principle of the optimal rolling ball radius, constructs the sampling point TCI calculation model and optimized it. Finally, an effective measure of the terrain complexity of TIN-DDM is realized by means of TCI interpolation of complex fields. The experimental results show that this method has a good effect of measuring terrain complexity, the constructed TCI calculation model can better distinguish the difference of local terrain topography expressed by sampling points. Compared with the comparison method, the DDM reconstructed by TCI according to the method in this paper has higher accuracy.

Key words: terrain complexity, TCI calculation model, TIN-DDM, rolling ball transformation, complex field, DDM reconstruct

中图分类号:

P227

季宏超, 董箭, 李树军, 张志强, 唐露露. 顾及形态差异的TIN-DDM地形复杂度度量方法[J]. 测绘学报, 2023, 52(6): 1010-1021.

JI Hongchao, DONG Jian, LI Shujun, ZHANG Zhiqiang, TANG Lulu. TIN-DDM terrain complexity measurement method considering topographic forms differences[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(6): 1010-1021.

参考文献

[1] 李志林, 朱庆. 数字高程模型[M]. 武汉: 武汉大学出版社, 2001: 78-91. LI Zhilin, ZHU Qing. Digital elevation model[M]. Wuhan: Wuhan University Press, 2001: 78-91.
[2] 董箭,彭认灿,张立华,等. 数字水深优化建模及滚动球处理技术[M]. 北京:测绘出版社,2020:7-13,161-170. DONG Jian,PENG Rencan,ZHANG Lihua,et al. Research on optimization digital depth modeling and rolling ball transform processing[M]. Beijing:Surveying and Mapping Press,2020:7-13,161-170.
[3] 张立华,贾帅东,董箭,等. 数字水深模型构建理论与方法[M]. 北京:测绘出版社,2019:4-7,135-138. ZHANG Lihua,JIA Shuaidong,DONG Jian,et al. Theory and methods for constructing digital depth model[M]. Beijing:Surveying and Mapping Press,2019:4-7,135-138.
[4] 张立华,贾帅东,吴超,等. 顾及不确定度的数字水深模型内插方法[J]. 测绘学报,2011,40(3):359-365. ZHANG Lihua,JIA Shuaidong,WU Chao,et al. A method for interpolating digital depth model considering uncertainty[J]. Acta Geodaetica et Cartographica Sinica,2011,40(3):359-365.
[5] 张立华,贾帅东,元建胜,等. 一种基于不确定度的水深控浅方法[J]. 测绘学报,2012,41(2):184-190. ZHANG Lihua,JIA Shuaidong,YUAN Jiansheng,et al. A method for controlling shoal-bias based on uncertainty[J]. Acta Geodaetica et Cartographica Sinica,2012,41(2):184-190.
[6] 唐钰涵. 一种基于局部地形复杂度指标的机载LiDAR地面点云数据抽稀方法[D]. 成都: 西南交通大学,2019. TANG Yuhan.A thinning method of airborne LiDAR ground point cloud data based on local terrain complexity index[D]. Chengdu: Southwest Jiaotong University,2019.
[7] 文佳昕,李靖涵,行瑞星,等. 顾及地形复杂度的多波束测深数据抽稀算法[J]. 测绘科学技术学报,2018,35(4):435-440. WEN Jiaxin,LI Jinghan,XING Ruixing,et al. A thinning algorithm of multibeam sounding data considering the complexity of seabed terrain[J]. Journal of Geomatics Science and Technology,2018,35(4):435-440.
[8] 李兆兴, 翟京生, 武芳, 等. TIN的海底地形复杂度表示与计算方法[J]. 测绘科学技术学报, 2018, 35(3): 305-310. LI Zhaoxing, ZHAI Jingsheng, WU Fang, et al. Seabed terrain complexity representation and computation method for TIN[J]. Journal of Geomatics Science and Technology, 2018, 35(3): 305-310.
[9] 国家质量技术监督局. 中国航海图编绘规范: GB 12320—1998[S]. 北京: 中国标准出版社, 1999. State Bureau of Quality and Technical Supervisionof the People's Republic of China. Specifications for Chinese nautical charts: GB 12320—1998[S]. Beijing: Standards Press of China, 1999.
[10] 张志衡, 董箭, 彭认灿, 等. 基于滚动球变换的TIN_DDM地形形态划分及连续尺度表达[J]. 测绘学报,2020,49(5):644-655. DOI: 10.11947/j.AGCS.2020.20180527. ZHANG Zhiheng, DONG Jian, PENG Rencan, et al. Division of TIN_DDM topographic forms and continuous scale representation based on rolling ball transformation[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(5): 644-655. DOI: 10.11947/j.AGCS.2020.20180527.
[11] 刘滔. 基于改进分形算法的地形复杂度模型构建及应用[D]. 成都:成都理工大学,2020. LIU Tao. Construction and application of terrain complexity model based on improved fractal algorithm[D]. Chengdu: Chengdu University of Technology,2020.
[12] 张冲. 海底地貌复杂度的表示与分析[D]. 天津:天津大学,2017. ZHANG Chong. Representation and analysis of seabed landform complexity[D]. Tianjin: Tianjin University,2017.
[13] 汤国安, 杨玮莹, 杨昕, 等. 对DEM地形定量因子挖掘中若干问题的探讨[J]. 测绘科学, 2003, 28(1): 28-32,1. TANG Guoan, YANG Weiying, YANG Xin, et al. Some key points in terrain variables deriving from DEMs[J]. Science of Surveying and Mapping, 2003, 28(1): 28-32,1.
[14] 周侗,龙毅,汤国安,等. 面向DEM地形复杂度分析的分形方法研究[J]. 地理与地理信息科学,2006,22(1):26-30. ZHOU Tong,LONG Yi,TANG Guoan,et al. A fractal method to describe the terrain complexity reflected by the raster DEM[J]. Geography and Geo-Information Science,2006,22(1):26-30.
[15] 刘春, 孙伟伟, 吴杭彬. DEM地形复杂因子的确定及与地形描述精度的关系[J]. 武汉大学学报(信息科学版), 2009, 34(9): 1014-1020. LIU Chun, SUN Weiwei, WU Hangbin. Terrain complexity factor and its relationship with accuracy of DEM terrain representation[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1014-1020.
[16] 董箭, 彭认灿, 张立华, 等. 滚动球变换的数字水深模型多尺度表达[J]. 地球信息科学学报, 2012, 14(6): 704-711. DONG Jian, PENG Rencan, ZHANG Lihua, et al. Multi-scale representation of digital depth model based on rolling ball transform[J]. Journal of Geo-Information Science, 2012, 14(6): 704-711.
[17] 董箭, 彭认灿, 郑义东, 等. 基于滚动球模型的单值曲面缓冲体边界生成算法[J]. 计算机辅助设计与图形学学报, 2013, 25(7): 996-1004. DONG Jian, PENG Rencan, ZHENG Yidong, et al. An algorithm of 3D-buffer boundary generation for singular value surface based on rolling ball model[J]. Journal of Computer-Aided Design & Computer Graphics, 2013, 25(7): 996-1004.
[18] 董箭, 彭认灿, 张立华, 等. 顾及 “保真性” 原则的双向滚动球变换DDM多尺度表达算法[J]. 测绘学报, 2017, 46(6): 789-801.DOI: 10.11947/J.AGCS.2017.20160558. DONG Jian, PENG Rencan, ZHANG Lihua, et al. Multi-scale representation of digital depth model based on double direction rolling ball transform according to the reality principle[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(6): 789-801.DOI: 10.11947/J.AGCS.2017.20160558.
[19] 董箭,张志衡,彭认灿,等. 不规则三角网数字水深模型缓冲面快速构建的滚动球加速优化算法[J]. 测绘学报,2019,48(5):654-667. DOI: 10.11947/J.AGCS.2019.20180455. DONG Jian,ZHANG Zhiheng,PENG Rencan,et al.TIN-DDM buffer surface construction algorithm based on rolling ball acceleration optimization model[J]. Acta Geodaetica et Cartographica Sinica,2019,48(5):654-667.DOI: 10.11947/J.AGCS.2019.20180455.
[20] DUCH A M,WOLINSKY M. Roaming terrain: realtime optimally adaptive meshes[C]//Proceedings of 1997 IEEE Visualization. Los Alamitos: IEEE Computer Society Press,1997,81-88.
[21] LINDSTROM P, PASCUCCI V. Terrain simplification simplified: a general framework for view-dependent out-of-core visualization[J]. IEEE Transactions on Visualization and Computer Graphics, 2002, 8(3): 239-254.
[22] 贾帅东, 张立华, 曹鸿博, 等. 顾及水深复杂度的自适应网格DDM构建方法[J]. 海洋测绘, 2011, 31(2): 4-7. JIA Shuaidong, ZHANG Lihua, CAO Hongbo, et al. A method for constructing adaptive grid digital depth model considering depth complexity[J]. Hydrographic Surveying and Charting, 2011, 31(2): 4-7.
[23] 杜浩, 朱俊锋, 张力, 等. 顾及地形特征的LiDAR点云数据抽稀算法[J]. 测绘科学, 2016, 41(9): 140-146. DU Hao, ZHU Junfeng, ZHANG Li, et al. A thinning method of LiDAR point clouds considering terrain features[J]. Science of Surveying and Mapping, 2016, 41(9): 140-146.
[24] 王晞. DEM内插算法与精度评定研究[J]. 现代测绘, 2013, 36(5):21-23, 29. WANG Xi. Research on interpolation algorithm and accuracy assessment of DEM[J]. Modern Surveying and Mapping, 2013, 36(5):21-23, 29.
[25] 贾帅东,张立华,彭认灿,等. 基于多波束数据的网格水深模型内插方法精度分析[J]. 海洋测绘,2013,33(5):24-26,37. JIA Shuaidong,ZHANG Lihua,PENG Rencan,et al. The accuracy analysis for grid depth model interpolations based on multibeam echosounder data[J].Hydroaphic Surveying And Charting,2013,33(5):24-26,37.

顾及形态差异的TIN-DDM地形复杂度度量方法

TIN-DDM terrain complexity measurement method considering topographic forms differences

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	季宏超, 董箭, 李树军, 张志强, 魏源. 兼顾地形形态与特征的非航海TIN-DDM自动综合算法[J]. 测绘学报, 2023, 52(1): 129-141.
[2]	张勤, 白正伟, 黄观文, 杜源, 王铎. GNSS滑坡监测预警技术进展[J]. 测绘学报, 2022, 51(10): 1985-2000.
[3]	张志衡, 董箭, 彭认灿, 陆毅, 陈秋, 朱强. 基于滚动球变换的TIN_DDM地形形态划分及连续尺度表达[J]. 测绘学报, 2020, 49(5): 644-655.
[4]	董箭, 彭认灿, 张立华, 刘国辉, 朱强. 顾及“保真性”原则的双向滚动球变换DDM多尺度表达算法[J]. 测绘学报, 2017, 46(6): 789-801.