Abstract
The synthesis of digital real-time image in scene matching has great significant and application in military. We first propose a practical scene matching simulation system. Then most factors effecting on real time image synthesis including the change of missile’s poses, hypsography, meteorology and the characteristics of image intensified CDD is investigated.The keymathematical models including eradiate aberrance and camera’s aberrance of digital scene image synthesis are discussed. An overall designing framework for simulation system is proposed. Furthermore, a powerful simulated real time image synthesis system named by SMRT-SS oriented to Image Intensified CCD camera is developed. Finally some simulation results are given.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Min-Shou Tang: The application of correlation matching technique in image guidance. NAIC-ID(RS)T:0382-96
Yanli, W., Tiejun, L., Zhe, C.: Study on global simulation technology of scene matching navigation system. Journal of system simulation 16(1), 108–112 (2004)
xiao-gang, Y., Dong, M., fei, C.: A practical scene Matching simulation method. Journal of system simulation 16(3), 363–366 (2004)
Schott, J.R.: Remote Sensing: The Image Chain Approach. Oxford University Press, NewYork (1997)
John, P., Kerekes, D.A.: Landgrebe: Modeling, simulation, and analysis of optical remote sensing systems. TR-EE 89-49, school of Electrical Engineering, Purdue University West Lafayette, Indiana 47907, USA
Kneizys, F.X., et al.: Atmospheric Transmittance/Radiance: Computer Code LOWTRAN 6. AFGL-TR-83-0187, ERP No. 846, Air Force Geophysics Laboratory, Hanscom Air Force Base, MA (August 1983)
Kneizys, F.X., Shettle, E.P., Abreu, L.W., Chetwynd, J.H., Anderson, G.P., Gallery, W.O., Selby, J.E.A., Clough, S.A.: Users’ Guide to LOWTRAN 7. AFGL-TR-88-0177, ERP No. 1010, Air Force Geophysics Laboratory, Hanscom Air Force Base, MA (August 1988)
Frenkel, A., Sartot, M.A., Wlodawski, M.S.: Photon-noise-limited operation of intensified CCD cameras. Applied Optics 36(22), 5288–5297 (1997)
Ientilucci, E.J., Brown, S.D., Schott, J.R., Raqueno, R.V.: Multispectral simulation environment for modeling low-light-level sensor systems. In: Proc. SPIE, vol. 3434, pp. 10–19 (1998)
Ruffner, J.W., Piccione, D., Woodward, K.: Development of a night-driving simulator concept for night vision image-intensification device training. In: Proc. SPIE, vol. 3088, pp. 90–197 (1997)
Moran, W.W., Ulich, B.L., Elkins, W.P., Strittmatter, R.L., DeWeert, M.J.: Intensified CCD (ICCD) dynamic range and noise performance. In: Proc. SPIE, vol. 3173, pp. 430–457 (1997)
Ientilucci Emmett, J.: Synthetic Simulation and Modeling of Image Intensified CCDs. MS thesis, Center for Imaging Science in the College of Science, Rochester Institute of Technology,USA, 3 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xiao, L., Wu, H., Tang, S., Liu, Y. (2005). Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System. In: Baik, DK. (eds) Systems Modeling and Simulation: Theory and Applications. AsiaSim 2004. Lecture Notes in Computer Science(), vol 3398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30585-9_68
Download citation
DOI: https://doi.org/10.1007/978-3-540-30585-9_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24477-6
Online ISBN: 978-3-540-30585-9
eBook Packages: Computer ScienceComputer Science (R0)