战场环境体素模型适应性分析及体要素分类方法研究

doi:10.16182/j.issn1004731x.joss.201702002

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (2): 241-247.doi: 10.16182/j.issn1004731x.joss.201702002

战场环境体素模型适应性分析及体要素分类方法研究

蒋秉川¹, 万刚¹, 范承啸², 夏青¹

1.信息工程大学地理空间信息学院,河南郑州,450052;
2.西安测绘总站,陕西西安,710054

收稿日期:2015-05-05 修回日期:2015-07-14 出版日期:2017-02-08 发布日期:2020-06-01
作者简介:蒋秉川(1984-),男,河南南阳,博士,讲师,研究方向为虚拟现实与战场环境仿真;万刚(1972-),男, 河北张家口,博士,教授,研究方向为虚拟现实与战场环境仿真。
基金资助:
国家自然科学基金(41371384, 41271393),国家科技支撑计划(2013BAH56F02)

Research on Adaptive Analysis for Battlefield Environment Voxel Model and Classification Method of Volume Elements

Jiang Bingchuan¹, Wan Gang¹, Fan Chengxiao², Xia Qing¹

1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China;
2. Technical Station of Surveying and Mapping, Xi'an 710054, China

Received:2015-05-05 Revised:2015-07-14 Online:2017-02-08 Published:2020-06-01

摘要/Abstract

摘要： 针对基于面模型的战场环境建模难以反映整个战场环境要素的全貌和细节的不足,详细阐述了体素与体素模型的概念和特点,分析了利用体素模型在战场陆地环境、气象环境、电磁环境和海洋环境实现建模和可视化的研究现状。讨论了体素模型对战场环境各要素建模的适应性,分析了战场环境中适合进行体建模的体要素的特点,并进行了分类,为进一步利用体素模型和体绘制技术实现战场环境的建模与可视化打下基础。

关键词: 体素, 体素模型, 适应性, 体绘制, 体要素, 战场环境建模, 体建模

Abstract: For the lack of battlefield environment modeling based on surface model, the whole elements and details of the battle-field environment were described. The fundamental conception and feature of the voxel and voxel model were discussed. The battle-field environment modeling and visualization like battle-filed terrestrial environment, weather environment, electromagnetic environment and ocean environment were analyzed and researched using the voxel model. The adaptability of each battlefield environment elements modeling was discussed using the Voxel model, and the elements were classified which were suitable with the voxel model. It is the basis for modeling and visualizing the battlefield environment elements using voxel model and volume rendering in the future.

Key words: voxel, voxel model, adaptability, volume render, volume elements, battlefield environment modeling, volume modeling

中图分类号:

TP391.9

蒋秉川, 万刚, 范承啸, 夏青. 战场环境体素模型适应性分析及体要素分类方法研究[J]. 系统仿真学报, 2017, 29(2): 241-247.

Jiang Bingchuan, Wan Gang, Fan Chengxiao, Xia Qing. Research on Adaptive Analysis for Battlefield Environment Voxel Model and Classification Method of Volume Elements[J]. Journal of System Simulation, 2017, 29(2): 241-247.

参考文献

[1] 游雄, 万刚. 战场可视化与数字地图[J]. 地理信息世界, 2004, 2(3): 19-24.
(You Xiong, Wan Gang.Battlefield Visualization and Digital Map[J]. Geomatics World, 2004, 2(3): 19-24.)
[2] 史文中, 吴立新. 地理信息系统原理与算法 [M]. 北京: 科学出版社, 2005: 46-47.
(Shi Wenzhong, Wu Lixin.Principles and Algorithms of GIS [M]. Beijing, China: Science Press, 2005: 46-47.)
[3] 蒋秉川, 游雄, 夏青, 等. 体素在虚拟地理环境构建中的应用技术研究[J]. 武汉大学学报(信息科学版), 2013, 38(7): 875-878.
(Jiang Bingchuan, You Xiong, Xia Qing, et al.The Research of the voxel in the Construction of Virtual Geographic Environment[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 875-878.)
[4] Geiss, Ryan.Generating Complex Procedural Terrains Using the GPU[M]// GPU Gems 3. USA: Addison- Wesley, 2008: 7-37.
[5] Greeff Gerrit.Interactive Voxel Terrain Design Using Procedural Techniques [R]. Stellenbosch, South Africa: University of Stellenbosch, 2009.
[6] Lengyel E S.Voxel-based Terrain for Real-time Virtual Simulations [R]. USA: University of California, 2010.
[7] Peytavie A, Galin E, Grosjean J, et al.Arches: A Framework for Modeling Complex Terrains[J]. Computer Graphics Forum (S1467-8659), 2009, 28(2): 457-467.
[8] Duoduo Liao.GPU-based Fast Volumetric Terrain Modeling for Volumetric GIS[C]// Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications. USA: ACM, 2011: 28.
[9] Bouthors A,Neyret F,Max N, et al.Interactive Multiple Anisotropic Scattering in Clouds[C]// Proceedings of the 2008 symposium on Interactive 3D Graphics and Games. USA: ACM, 2008: 173-182.
[10] 秦绪佳, 张勤锋, 陈坚, 等. GPU 加速的台风可视化方法[J]. 中国图象图形学报, 2012, 17(2): 293-300.
(Qin Xujia, Zhang Qinfeng, Chen Jian, et al.GPU Accelerated Typhoon Visualization Method[J]. Journal of Image and Graphics, 2012, 17(2): 293-300.)
[11] 向俊利, 范茵, 许屏, 等. 面向台风数据体绘制的传输函数研究[J]. 计算机应用与软件, 2013, 30(10): 255-258.
(Xiang Junli, Fan Yin, Xu Ping, et al.On Transfer For Typhoon Data Volume Rendering[J]. Computer Applications and Software, 2013, 30(10): 255-258.)
[12] Berberich M, Amburn P, Moorhead R, et al.Geospatial Visualization using Hardware Accelerated Real-time Volume Rendering[C]// OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges. USA: IEEE, 2009: 1-5.
[13] 陈小龙, 袁赞. 基于体绘制的动态云场景模拟[J]. 计算机技术与发展, 2015, 25(2): 29-32.
(Chen Xiaolong, Yuan Zan.Dynamic Cloud Scene Simulation Based on Volume Rendering[J]. Computer Technology and Development, 2015, 25(2): 29-32.)
[14] 王章野, 宫立山, 施肖菁, 等. 沙尘暴场景的参数化建模与实时绘制[J]. 计算机辅助设计与图形学学报, 2013, 25(7): 1012-1021.
(Wang Zhangye, Gong Lishan, Shi Xiaojing, et al.Paametric Modeling and Real-time Rendering of Sandstorm Scenes[J]. Journal of Computer-Aided Design & Computer Graphics, 2013, 25(7): 1012-1021.)
[15] 周桥, 徐青, 陈景伟, 等. 电磁环境建模与3维可视化[J]. 测绘科学技术学报, 2008, 25(2): 112-115.
(Zhou Qiao, Xu Qing, Chen Jingwei, et al.3D Visualization and Modeling of Electromagetic Environment[J]. Journal of Geomatics Science and Technology, 2008, 25(2): 112-115.)
[16] 杨超. 虚拟战场中电磁环境三维建模与绘制方法研究 [D]. 长沙: 国防科学技术大学, 2010: 45-64.
(Yang Chao.Research on 3D Modeling and Rendering of Electromagnetic Environment in Virtual Battlefield [D]. Changsha, China: Graduate School of National University of Defense Technology, 2010: 45-64.)
[17] 冯晓萌, 吴玲达, 杨超. 基于CUDA架构的复杂电磁环境空间数据实时体绘制技术[J]. 系统仿真学报, 2014, 26(7): 1549-1553.
(Feng Xiaomeng, Wu Lingda, Yang Chao.Real-time Volume Rendering Technique for Complex Electromagnetic Environment Space Data Based on CUDA Architecture[J]. Journal of System Simulation (S1004-731X), 2014, 26(7): 1549-1553.)
[18] 张文波, 曹耀钦, 孙伟, 等. 基于CUDA的电磁场快速体绘制研究[J]. 计算机科学, 2013, 40(10): 83-86.
(Zhang Wenbo, Cao Yaoqin, Sun Wei, et al.Electromagnetic Field Volume Rendering Based on CUDA[J]. Computer Science, 2013, 40(10): 83-86.)
[19] 王小林, 笪良龙, 李玉阳, 等. 三维声场体可视化及其剖分应用研究[J]. 系统仿真学报, 2008, 18(增1): 326-327.
(Wang Xiaolin, Da Lianglong, Li Yuyang, et al.Research of Volume Visualization and Clip Plane Technology in Acoustic Energy Fields[J]. Journal of System Simulation (S1004-731X), 2008, 18(S1): 326-327.)
[20] 王小林, 笪良龙, 杨廷武, 等. 基于预积分体渲染技术的水下三维声场体可视化[J]. 系统仿真学报, 2007, 19(21): 4970-4972.
(Wang Xiaolin, Da Lianglong, Yang Tingwu, et al.Underwater Acoustic Energy Fields Visualization Based on Technology of Pre-Integrated Volume Rendering[J]. Journal of System Simulation (S1004-731X), 2007, 19(21): 4970-4972.)
[21] 杨廷武, 王小林, 李玉阳, 等. 基于三维纹理的水下三维声场直接体可视化[J]. 系统仿真学报, 2006, 18(增1): 322-323.
(Yang Tingwu, Wang Xiaolin, Li Yuyang, et al.Research of Direct Volume Rendering on Underwater 3D Acoustic Energy Field[J]. Journal of System Simulation (S1004-731X), 2006, 18(S1): 322-323.)
[22] 杨廷武, 笪良龙, 李玉阳, 等. 声纳探测场预积分体可视化研究[J]. 系统仿真学报, 2009, 10(增1), 178-180.
(Yang Tingwu, Da Lianglong, Li Yuyang, et al.The Pre-integrated Volume Rendering for Sonar Detecting Effectiveness Field[J]. Journal of System Simulation (S1004-731X), 2009, 10(S1), 178-180.)
[23] 杨廷武, 笪良龙, 李玉阳, 等. 基于海洋环境数据的水下作战视觉决策技术研究[J]. 系统仿真学报, 2010, 22(10): 2450-2453.
(Yang Tingwu, Da Lianglong, LI Yuyang, et al.Research on Vision Decision in Underwater Operation Based on Underwater Environment[J]. Journal of System Simulation (S1004-731X), 2010, 22(10): 2450-2453.)
[24] 游雄. 战场环境仿真 [M]. 北京: 解放军出版社, 2012: 63-64.
(You Xiong.Battlefield Environment Simulation [M]. Beijing, China: People's Liberation Army Publishing House, 2012: 63-64.)
[25] 张为华, 汤国建, 文援兰, 等. 战场环境概论 [M]. 北京: 科学出版社, 2013: 154-155.
(Zhang Weihua, Tang Guojian, Wen Yuanlan, et al.General Battlefield Environment [M]. Beijing, China: Science Press, 2013: 154-155.)

战场环境体素模型适应性分析及体要素分类方法研究

Research on Adaptive Analysis for Battlefield Environment Voxel Model and Classification Method of Volume Elements

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	李锋, 魏莹. 社会学习和参照点效应对企业产品决策的影响[J]. 系统仿真学报, 2022, 34(2): 234-246.
[2]	赵柱, 王毅, 樊芮锋, 李丽亚, 祁蒙. 基于多主体NetLogo平台的反无人机OODA体系对抗建模[J]. 系统仿真学报, 2021, 33(8): 1791-1800.
[3]	李文翔, 李晔, 董洁霜, 李一鸣. 引入碳交易机制的新能源汽车发展路径研究[J]. 系统仿真学报, 2021, 33(6): 1451-1465.
[4]	李锋, 魏莹. 复杂网络对羊群效应现象影响的仿真研究[J]. 系统仿真学报, 2021, 33(3): 539-553.
[5]	郑文, 窦晨希, 张喆. 外卖平台专送式利益分配仿真[J]. 系统仿真学报, 2021, 33(3): 631-644.
[6]	杜金莲, 李淑飞, 金雪云. 三维烟雾流场超分辨率数据生成网络模型的研究[J]. 系统仿真学报, 2021, 33(10): 2381-2389.
[7]	毕硕本, 贡毓成, 路明月, 周浩, 毛远翔. 气象数据标量场的建模与可视化研究[J]. 系统仿真学报, 2020, 32(7): 1331-1340.
[8]	邵威, 刘畅, 贾金原. 基于光照贴图的Web3D全局光照协作式云渲染系统[J]. 系统仿真学报, 2020, 32(4): 649-659.
[9]	李锋, 魏莹. 时序网络视角下网络舆情的演化模型研究[J]. 系统仿真学报, 2020, 32(3): 394-403.
[10]	潘理虎, 秦世鹏, 李晓文, 芦飞平, 杨芬玉. COVID-19病毒防控多智能体仿真模型[J]. 系统仿真学报, 2020, 32(11): 2244-2257.
[11]	李锋, 魏莹. 小世界网络下病毒式信息传播的仿真分析[J]. 系统仿真学报, 2019, 31(9): 1790-1801.
[12]	潘理虎, 李晓文, 秦世鹏, 张英俊, 闫慧敏. 城市安全宜居度变化多智能体仿真模型[J]. 系统仿真学报, 2019, 31(7): 1321-1333.
[13]	蒋建波, 李鹏, 苗爱敏, 曹敏, 张松海, 檀磊, 李柯润. GCPS时滞稳定性分析的整体建模方法[J]. 系统仿真学报, 2018, 30(9): 3274-3282.
[14]	罗明, 孙水发, 王骊雯, 董方敏. 基于三维梯度幅值的CT图像体绘制[J]. 系统仿真学报, 2018, 30(7): 2666-2674.
[15]	李锋, 魏莹. 小世界网络环境下谣言传播对产品定价的影响[J]. 系统仿真学报, 2018, 30(2): 533-542.