Research of infrared simulation technology of virtual battlefield based on GPU

doi:10.3778/j.issn.1002-8331.2008.32.064

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (32): 213-215.DOI: 10.3778/j.issn.1002-8331.2008.32.064

• 工程与应用 • Previous Articles Next Articles

Research of infrared simulation technology of virtual battlefield based on GPU

GUAN Li,ZHANG Sheng-chao,HAO Chong-yang

Institude of Electnonic and Information Engineering，Northwestern Polytechnical University，Xi’an 710072，China

Received:2007-12-07 Revised:2008-03-03 Online:2008-11-11 Published:2008-11-11
Contact: GUAN Li

基于GPU的虚拟战场红外仿真技术研究

管莉,张胜超,郝重阳

西北工业大学电子与信息工程研究所，西安 710072

通讯作者: 管莉

Abstract

Abstract: Infrared scene simulation is an important way for designing and measuring infrared weapon system，and the simulation is worth in military and economy.The key technique of the simulation is the generation of infrared scene image.This paper introduces an implementation of the infrared radiation calculation model on GPU，and gains high efficiency and high precision with the programmable properties and powerful parallel computation abilities of GPU.

Key words: Graphic Processing Unit（GPU）, infrared image, scene simulation, infrared radiation calculation model

摘要： 实时红外视景仿真已成为红外成像武器系统设计与评估的重要方法，在军事和国民经济中有着广泛的应用前景。红外仿真的关键环节在于红外视景图像的生成，提出了一种基于GPU实现红外辐射计算模型的方法，将辐射传输模型中温度、辐射特性等数据的计算移植到GPU中，充分利用了GPU的可编程特性以及强大的并行运算能力，高效生成了精度较高的红外场景图像。

关键词: 图形处理器, 红外图像, 视景仿真, 红外辐射计算模型

GUAN Li,ZHANG Sheng-chao,HAO Chong-yang. Research of infrared simulation technology of virtual battlefield based on GPU[J]. Computer Engineering and Applications, 2008, 44(32): 213-215.

管莉,张胜超,郝重阳. 基于GPU的虚拟战场红外仿真技术研究[J]. 计算机工程与应用, 2008, 44(32): 213-215.

[1]	MIN Chaobo. Image Registration via Adaptive Polynomial Mixture Transformation [J]. Computer Engineering and Applications, 2020, 56(23): 194-201.
[2]	CHEN Xi1, WANG Yigang1, WU Zizhao1, LI Jijun2. Research and realization of stage augmented reality system [J]. Computer Engineering and Applications, 2018, 54(3): 11-17.
[3]	WEI Li1, DING Meng2，3, ZENG Lina2, ZENG Lijun1. Infrared image-based pedestrian detection in guidance of 2D laser scanner [J]. Computer Engineering and Applications, 2017, 53(23): 197-202.
[4]	GU Pengcheng, HUANG Fuzhen. Power equipment infrared image segmentation based on improved Chan-Vese model [J]. Computer Engineering and Applications, 2017, 53(10): 193-196.
[5]	LIU Gaoming1，2, RONG Kui2, ZHU Hui1, TAN Huailiang2. Design of graphics display system for embedded RTOS [J]. Computer Engineering and Applications, 2016, 52(9): 190-195.
[6]	YI Qingming, CHEN Mingmin, SHI Min. Improved wavelet de-noising method for infrared image application [J]. Computer Engineering and Applications, 2016, 52(1): 173-177.
[7]	LIN Min, ZHONG Yiwen. Three GPU-based parallel simulated annealing algorithm with adaptive neighborhood [J]. Computer Engineering and Applications, 2015, 51(22): 70-76.
[8]	ZENG Bo1，2, LEI Youcheng1, WANG Congzhi2, QIU Weibao2, FENG Ge2, ZENG Chengzhi2, YANG Ge2, ZHENG Hairong2. CUDA-based acoustic radiation force imaging algorithm [J]. Computer Engineering and Applications, 2015, 51(18): 249-254.
[9]	HE Jie, WAN Xiaodong. Airborne infrared weak and small targets detection under background of dynamic ground [J]. Computer Engineering and Applications, 2015, 51(16): 178-182.
[10]	LI Huizhuo1, FAN Yong1, TANG Jun1, TANG Zunlie2, XIONG Ping2, ZHOU Jianyong2. Bi-histogram equalization method for infrared image enhancement based on nonlinear transfer [J]. Computer Engineering and Applications, 2014, 50(9): 155-159.
[11]	WEI Yingzi1，2, LI Jingjing1. Enhanced Fuzzy C-Means clustering method for infrared image segmentation [J]. Computer Engineering and Applications, 2014, 50(9): 163-166.
[12]	CAI Yunlong, XIAO Sumei, QI Long. Locking paralleled GPU-based method research for unstructured mesh generation [J]. Computer Engineering and Applications, 2014, 50(6): 56-60.
[13]	GONG Lei1, YAO Jiangang1, LI Tangbing2, ZHANG Yan3, LIAO Wei3，WU Yefan3. Tabu search algorithm application in segmentation of insulator infrared image [J]. Computer Engineering and Applications, 2014, 50(6): 132-134.
[14]	TANG Shaohua. Parallelizing network coding on manycore GPU-accelerated system with optimization [J]. Computer Engineering and Applications, 2014, 50(21): 79-84.
[15]	LI Lunqing, ZHANG Huilin, ZHANG Jiewu. Thermal infrared face image recognition based on visual information eyeglasses removing [J]. Computer Engineering and Applications, 2014, 50(20): 182-186.

Research of infrared simulation technology of virtual battlefield based on GPU

基于GPU的虚拟战场红外仿真技术研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics