基于无人机遥感影像的三维战场构建技术研究

doi:10.16182/j.cnki.joss.2015.06.017

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (6): 1268-1273.doi: 10.16182/j.cnki.joss.2015.06.017

基于无人机遥感影像的三维战场构建技术研究

刘彬, 陈向宁, 郭连朋

中国人民解放军装备学院,北京 101400

收稿日期:2014-06-30 修回日期:2014-09-22 出版日期:2015-06-08 发布日期:2021-01-15
作者简介:刘彬(1981-),男,四川邛崃,博士,工程师,研究方向为计算机视觉、大数据的三维重建; 陈向宁(1962-),男,江西崇仁,博士,教授,研究方向为摄影测量与遥感; 郭连朋(1990-),男,山东聊城,硕士,研究方向为摄影测量与遥感。

Study on 3D Battlefield Construction Based on UAV Remote Sensing Images

Liu Bin, Chen Xiangning, Guo Lianpeng

Equipment Academy of PLA, Bejig 101400, China

Received:2014-06-30 Revised:2014-09-22 Online:2015-06-08 Published:2021-01-15

摘要/Abstract

摘要： 针对三维战场环境快速构建需求,提出了一种基于无人机遥感影像全自动构建三维战场环境的技术方法。利用无人机快速获取预定区域的遥感影像,基于运动与结构的方法完成场景的稀疏重建和影像标定,使用多视立体匹配算法重建场景的稠密点云,对点云进行曲面拟合和纹理映射生成三维战场数宇模型。实验结果表明,提出的方法能够快速构建作战区域的三维场景,有效提高三维建模的效率,在地形分析、情报侦察、作战评估等方面有着重要意义。

关键词: 无人机遥感影像, 运动与结构, 稠密点云, 纹理映射, 三维战场

Abstract: According to the demand for rapid construction of 3D battlefield environment, an automatic 3D battlefield environment construction technology was proposed based on UAV Remote Sensing Images. The specified area remote sensing images were captured using UAV The sparse reconstruction and calibrations were obtained using SFM method. The dense reconstruction was done using multi-view stereo matching algorithms. The scene surface was fit using dense points and texture mapping was done to generate 3D battlefield environment. The experimental results show that the proposed method can quickly reconstruct the battlefield, and improves the efficiency of 3D modeling. It has significant intelligence in terrain analysis, reconnaissance, combat assessment, etc.

Key words: UAV remote sensing image, structure and motion, dense point cloud, texture mapping, 3D battlefield

中图分类号:

TB864

刘彬, 陈向宁, 郭连朋. 基于无人机遥感影像的三维战场构建技术研究[J]. 系统仿真学报, 2015, 27(6): 1268-1273.

Liu Bin, Chen Xiangning, Guo Lianpeng. Study on 3D Battlefield Construction Based on UAV Remote Sensing Images[J]. Journal of System Simulation, 2015, 27(6): 1268-1273.

参考文献

[1] 吴玲达, 宋汉辰.三维数字化战场环境构建技术研究[J]系统仿真学报, 2009, 21(S1): 91-94.(Wu Lingda,SongHanchen.Research on the Construction Technology of 3D Digital Battlefield Environment[J].Joumal of System Simulation (S1004-731X), 2009,21(S1): 91-94.)
[2] Snavely N, Seitz S M, Szeliski R.Modeling the world from intermet photo collections[J]. International Jourmal of Computer Vision (S0920-5691), 2008, 80(2):189-210.
[3] Agarwal S, Furukawa Y, Snavely N, et al.Building rome in a day[J]. Communications of the ACM (S0001-0782), 2011, 54(10): 105-112.
[4] Furukawa Y, Ponce J.Accurate, dense, and robust multiview stereopsis[J]. Pattemn Analysis and Machine Intelligence, IEEE Transactions on (S0162 8828), 2010,32(8): 1362-1376.
[5] Bolitho M, Kazhdan M, Burns R, et al.Parallel poisson surface reconstruction[M]// Advances in Visual Computing (S0178-2789). Germany: Springer Berlin Heidelberg, 2009: 678-689.
[6] Zhaolin Chen, Jun Zhou, Yisong Chen.3D Texture Mapping in Multi-view Reconstruction[M]// Advances in Visual Computing (S0178-2789). Germany: Springer Berlin Heidelberg, 2012: 359-371.
[7] Rosten E, Porter R, Drummond T.Faster and better: A machine learning approach to corner detection[J].Pattern Analysis and Machine Intelligence, IEEE Transactions on (S0162- 8828), 2010, 32(1): 105-119.
[8] David G Lowe.Distinctive Image Features fom Scale Invariant Key Points[J]. International Journal of Computer Vision (S0920-5691), 2004, 60(2): 91-110.
[9] Wu C.Towards lner-ime incremental structure from .motion[C]// 3DTV-Conference, 2013 International Conference on. USA: IEEE, 2013: 127-134.
[10] Miksik O, Mikolajczyk K.Evaluation of local detectors and descriptors for fast feaure matching[C]// Pattern Recognition (ICPR), 2012 21st Intemational Conference on. USA: IEEE, 2012: 2681-2684.
[11] Agarwal s, Snavely N, Seitz s M, et al. Bundle adjustment in the large[C]// Proceedings of the 11th European Conference on Computer Vision: Part I. Crete,Greece. Germany: Springer, 2010: 29-42.
[12] Seitz s, Curless B, Diebel I, et al. Multi-view stereo evaluation [J/OL].(2006- 00-00) [2010-06-10].htp:/:/vision.iddleburyedu/mview, 2010.
[13] Beis J S, Lowe D G.Shape indexing using approximate nearest-neighbour search in high-dimensional spaces[C]// 1997 Confcrence on Computer Vision and Pattern Recognition (CVPR 97), June 17-19, 1997, San Juan, Puerto Rico. USA: IEEE Computer Society, 1997: 1000-1006.
[14] M A Fischler, R C Bolles.Random Sample Consensus: A Paradigm for Model Fiting with Applications to Image Analysis and Automated Cartography[J].Communications of the ACM (S0001-0782), 1981, 24(6): 381-395.
[15] R Hartley.In defense of the eight point algorithm[J]. IEEE Trans. Patterm Analysis and Machine Intelligence (S0162- -8828), 1997, 19(6): 580-593.
[16] R 1 Hartley, A Zisserman. Multiple View Geometry in Computer Vision [M]. UK: Cambridge University Press, 2000.
[17] Zhang Z.Flexible camera calibration by viewing a plane ftom unknown orientations[C]// Computer Vision, 1999. The Proceedings of the Seventh IEEE Intermnational Conference on, Kerkyra, Greece. USA: IEEE, 1999, 1: 666-673.
[18] Nister D.An efficient solution to the five-point relative pose problem[J], Pattern Analysis and Machine Intelligence, IEEE Transactions on (S01 62-8828), 2004, 26(6): 756-770.
[19] Luotis M.Lrmr Lobroraquue onm least squares agrihms in C/c++ [/OL]. (004-08-06) 2004.
[20] Noal Sow Seve M seiz, Rched sai Pho Tous. Eplorig imege coelas in 3D [C]// AOM Toasados o Grphies Cocdr of SGGRAPH .2006). USA: ACM, 20060
[21] WwuC, Agwas Crts B. a al. Mlioro bu adjustmnt[C]. Computer Vision and Pattern Reogption (VPR), 201 EEE Cnfereree on. USA: IEE, 2011: 3057-3064.
[22] Jancosk M, Ppjdla τ. Multiview reconstruction Psevinin wealy sprted srfacs [C]// Computer Visio ad Ptte Roaoon (VR), 2011 TEE . Cofereace o USA: IEE, 201: 321-3128.
[23] Fruw Y. Cartess B.Seizt s Ma al. Cusene views for mliviw steroo[C]// rocedies fom te IBE Coferee on Computer Vision and Patern Rogali CVPR), San Faciscs USA USA: TeB,2010: 1434-1441.
[24] D Lazzaro, L B Montefusco.Radial basis functions for the multivariate interpolation of large scattered data sets[J]. Journal of Computational and Applied Mathematics (S0377-0427), 2002, 140(1): 521-536.
[25] B Mederos, N Amenta.Surface reconstruction for noisy point clouds[C]// SGP 2005, Vienna, Austria, ACM International Conference Proceeding Series 255, Eurographics Association. USA: ACM, 2005: 53-62.
[26] Haixia Du, Hong Qin.A shape design system using volumetric implicit PDEs[J].Computer-Aided Design (S1686 4360), 2004, 36(11): 1101-1116.

基于无人机遥感影像的三维战场构建技术研究

Study on 3D Battlefield Construction Based on UAV Remote Sensing Images

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