Journal of System Simulation
Abstract
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.
Recommended Citation
Liu, Bin; Chen, Xiangning; and Guo, Lianpeng
(2021)
"Study on 3D Battlefield Construction Based on UAV Remote Sensing Images,"
Journal of System Simulation: Vol. 27:
Iss.
6, Article 17.
DOI: 10.16182/j.cnki.joss.2015.06.017
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss6/17
First Page
1268
Revised Date
2014-09-22
DOI Link
https://doi.org/10.16182/j.cnki.joss.2015.06.017
Last Page
1273
CLC
TB864
Recommended Citation
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.
DOI
10.16182/j.cnki.joss.2015.06.017
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