A parallel multiple path tracing method based on OptiX for infrared image generation

Hao Wang; Xia Wang; Li Liu; Teng Long; Zimu Wu

doi:10.1117/12.2230461

A parallel multiple path tracing method based on OptiX for infrared image generation

Hao Wang, Xia Wang, Li Liu, Teng Long, Zimu Wu

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Infrared image generation technology is being widely used in infrared imaging system performance evaluation, battlefield environment simulation and military personnel training, which require a more physically accurate and efficient method for infrared scene simulation. A parallel multiple path tracing method based on OptiX was proposed to solve the problem, which can not only increase computational efficiency compared to serial ray tracing using CPU, but also produce relatively accurate results. First, the flaws of current ray tracing methods in infrared simulation were analyzed and thus a multiple path tracing method based on OptiX was developed. Furthermore, the Monte Carlo integration was employed to solve the radiation transfer equation, in which the importance sampling method was applied to accelerate the integral convergent rate. After that, the framework of the simulation platform and its sensor effects simulation diagram were given. Finally, the results showed that the method could generate relatively accurate radiation images if a precise importance sampling method was available.

Original language	English
Title of host publication	MIPPR 2015
Subtitle of host publication	Automatic Target Recognition and Navigation
Editors	Nong Sang, Xinjian Chen, Xinjian Chen, Nong Sang, Xinjian Chen, Nong Sang
Publisher	SPIE
ISBN (Electronic)	9781510600539, 9781510600539, 9781510600539
DOIs	https://doi.org/10.1117/12.2230461
Publication status	Published - 2015
Event	9th International Symposium on Multispectral Image Processing and Pattern Recognition: Automatic Target Recognition and Navigation, MIPPR 2015 - Enshi, Hubei, China Duration: 31 Oct 2015 → 1 Nov 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9812
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	9th International Symposium on Multispectral Image Processing and Pattern Recognition: Automatic Target Recognition and Navigation, MIPPR 2015
Country/Territory	China
City	Enshi, Hubei
Period	31/10/15 → 1/11/15

Keywords

Bidirectional reflection function
Hemispheric space sampling
Importance sampling
Infrared image generation
Monte Carlo integration
Multiple path tracing
OptiX
Parallel computation
Radiation transfer equation

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10.1117/12.2230461

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Wang, H., Wang, X., Liu, L., Long, T., & Wu, Z. (2015). A parallel multiple path tracing method based on OptiX for infrared image generation. In N. Sang, X. Chen, X. Chen, N. Sang, X. Chen, & N. Sang (Eds.), MIPPR 2015: Automatic Target Recognition and Navigation Article 98121E (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9812). SPIE. https://doi.org/10.1117/12.2230461

@inproceedings{6595d094c24544bfbd37167ed59b46d4,

title = "A parallel multiple path tracing method based on OptiX for infrared image generation",

abstract = "Infrared image generation technology is being widely used in infrared imaging system performance evaluation, battlefield environment simulation and military personnel training, which require a more physically accurate and efficient method for infrared scene simulation. A parallel multiple path tracing method based on OptiX was proposed to solve the problem, which can not only increase computational efficiency compared to serial ray tracing using CPU, but also produce relatively accurate results. First, the flaws of current ray tracing methods in infrared simulation were analyzed and thus a multiple path tracing method based on OptiX was developed. Furthermore, the Monte Carlo integration was employed to solve the radiation transfer equation, in which the importance sampling method was applied to accelerate the integral convergent rate. After that, the framework of the simulation platform and its sensor effects simulation diagram were given. Finally, the results showed that the method could generate relatively accurate radiation images if a precise importance sampling method was available.",

keywords = "Bidirectional reflection function, Hemispheric space sampling, Importance sampling, Infrared image generation, Monte Carlo integration, Multiple path tracing, OptiX, Parallel computation, Radiation transfer equation",

author = "Hao Wang and Xia Wang and Li Liu and Teng Long and Zimu Wu",

note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE.; 9th International Symposium on Multispectral Image Processing and Pattern Recognition: Automatic Target Recognition and Navigation, MIPPR 2015 ; Conference date: 31-10-2015 Through 01-11-2015",

year = "2015",

doi = "10.1117/12.2230461",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Nong Sang and Xinjian Chen and Xinjian Chen and Nong Sang and Xinjian Chen and Nong Sang",

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Wang, H, Wang, X , Liu, L , Long, T & Wu, Z 2015, A parallel multiple path tracing method based on OptiX for infrared image generation. in N Sang, X Chen, X Chen, N Sang, X Chen & N Sang (eds), MIPPR 2015: Automatic Target Recognition and Navigation., 98121E, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9812, SPIE, 9th International Symposium on Multispectral Image Processing and Pattern Recognition: Automatic Target Recognition and Navigation, MIPPR 2015, Enshi, Hubei, China, 31/10/15. https://doi.org/10.1117/12.2230461

A parallel multiple path tracing method based on OptiX for infrared image generation. / Wang, Hao; Wang, Xia ; Liu, Li et al.
MIPPR 2015: Automatic Target Recognition and Navigation. ed. / Nong Sang; Xinjian Chen; Xinjian Chen; Nong Sang; Xinjian Chen; Nong Sang. SPIE, 2015. 98121E (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9812).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A parallel multiple path tracing method based on OptiX for infrared image generation

AU - Wang, Hao

AU - Wang, Xia

AU - Liu, Li

AU - Long, Teng

AU - Wu, Zimu

N1 - Publisher Copyright: © COPYRIGHT SPIE.

PY - 2015

Y1 - 2015

N2 - Infrared image generation technology is being widely used in infrared imaging system performance evaluation, battlefield environment simulation and military personnel training, which require a more physically accurate and efficient method for infrared scene simulation. A parallel multiple path tracing method based on OptiX was proposed to solve the problem, which can not only increase computational efficiency compared to serial ray tracing using CPU, but also produce relatively accurate results. First, the flaws of current ray tracing methods in infrared simulation were analyzed and thus a multiple path tracing method based on OptiX was developed. Furthermore, the Monte Carlo integration was employed to solve the radiation transfer equation, in which the importance sampling method was applied to accelerate the integral convergent rate. After that, the framework of the simulation platform and its sensor effects simulation diagram were given. Finally, the results showed that the method could generate relatively accurate radiation images if a precise importance sampling method was available.

AB - Infrared image generation technology is being widely used in infrared imaging system performance evaluation, battlefield environment simulation and military personnel training, which require a more physically accurate and efficient method for infrared scene simulation. A parallel multiple path tracing method based on OptiX was proposed to solve the problem, which can not only increase computational efficiency compared to serial ray tracing using CPU, but also produce relatively accurate results. First, the flaws of current ray tracing methods in infrared simulation were analyzed and thus a multiple path tracing method based on OptiX was developed. Furthermore, the Monte Carlo integration was employed to solve the radiation transfer equation, in which the importance sampling method was applied to accelerate the integral convergent rate. After that, the framework of the simulation platform and its sensor effects simulation diagram were given. Finally, the results showed that the method could generate relatively accurate radiation images if a precise importance sampling method was available.

KW - Bidirectional reflection function

KW - Hemispheric space sampling

KW - Importance sampling

KW - Infrared image generation

KW - Monte Carlo integration

KW - Multiple path tracing

KW - OptiX

KW - Parallel computation

KW - Radiation transfer equation

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A2 - Chen, Xinjian

A2 - Sang, Nong

A2 - Chen, Xinjian

A2 - Sang, Nong

PB - SPIE

T2 - 9th International Symposium on Multispectral Image Processing and Pattern Recognition: Automatic Target Recognition and Navigation, MIPPR 2015

Y2 - 31 October 2015 through 1 November 2015

ER -

A parallel multiple path tracing method based on OptiX for infrared image generation

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