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Proceedings Paper

Simulation of realistic infrared texture of aeolian sand ripples
Author(s): Qian Liu; Feng Zhu; Xiao-wei Long; Ying-ming Hao; Shuang-fei Fu
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Paper Abstract

Texture is of vital importance when rendering realistic infrared images. Traditional attempts to simulate infrared textures often suffer from insufficient realism seen in actual infrared images. This paper presents a synthesis model for generating infrared texture of aeolian sand ripples. By integration of physical radiation model and texture structure model, sources of variability that causes IR texture are modeled. The physical radiation model takes into account geometrical, thermodynamic and meteorological parameters and calculates the thermal radiation distribution of different surface slopes. The texture structure model is introduced based on natural landscape features to simulate spatial distribution patterns of aeolian sand ripples. Simulation results are indicative of good performance of the proposed method to simulate radiometrically-correct yet visually-appealing infrared textures.

Paper Details

Date Published: 8 September 2011
PDF: 10 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819308 (8 September 2011); doi: 10.1117/12.896415
Show Author Affiliations
Qian Liu, Shenyang Institute of Automation (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Key Lab. of Opto-Electronics Information Processing (China)
Feng Zhu, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronics Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Xiao-wei Long, Office of Air Force (China)
Ying-ming Hao, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronics Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Shuang-fei Fu, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronics Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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