Share Email Print
cover

Proceedings Paper

CGAN for simulation and digital image correction of aero transmission effect and aero heat radiation effect
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The main influencing factor of imaging under high speed conditions is the aero-optical effect. Aero-optical effect is a kind of noise, which can be regarded as a superposition of three kinds of noises, system noise ,aero transmission effect and aero heat radiation effect. In this paper, we only consider aero transmission effect and aero heat radiation effect. The simulation and correction of aero-optical effects are important for terminal guidance. The aero-optical effect simulation method described in this paper uses a deep neural network (Conditional Generative Adversarial Networks). The use of big data allows the conditional generative adversarial networks to learn the mapping between clear pictures and pictures with aero-optical effects in training. Aero-optical effect correction is usually divided into two parts, the correction of the aero transmission effect and the correction of the aero heat radiation effect. In this paper, we use the conditional generative adversarial networks to train a large amount of data and learn the mapping relationship between the pictures with the aero-optical effects and the clear pictures in the training. And this mapping relationship is preserved in the form of bias and weights. It is not necessary to consider the aero-optical effect and the aero heat radiation effect separately. In this paper, the structural similarity (SSIM) between the real image and the simulated image generated by the conditional generation adversarial the network is 97.63%. The structural similarity (SSIM) between the clear image and the aero-optical effect image corrected with the conditional generation adversarial the network is 76.59%. The structural similarity (SSIM) between the original aero-optical effect image and the clear image is 55.73%.

Paper Details

Date Published: 24 January 2019
PDF: 8 pages
Proc. SPIE 11052, Third International Conference on Photonics and Optical Engineering, 110521M (24 January 2019); doi: 10.1117/12.2523271
Show Author Affiliations
Yi Bo Su, Huazhong Univ. of Science and Technology (China)
Zhong Yang Wang, Huazhong Univ. of Science and Technology (China)
Shuai Liang, Huazhong Univ. of Science and Technology (China)
Tian Xu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11052:
Third International Conference on Photonics and Optical Engineering
Ailing Tian, Editor(s)

© SPIE. Terms of Use
Back to Top