Nonlinear atmospheric correction based on neural network for infrared target radiometry
文献类型：期刊论文
| 作者 | G. Yang,Z. Li,C. Zhao,Y. Yu,Y. Qiao and F. He |
| 刊名 | Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
 |
| 出版日期 | 2020 |
| 卷号 | 49期号:5 |
| ISSN号 | 10072276 |
| DOI | 10.3788/IRLA20190413 |
| 英文摘要 | Infrared radiometry technology is an important means to characterize the infrared signature of targets, and atmospheric correction is a requisite step to obtain the real radiance of targets. A nonlinear atmospheric correction (NLAC) method was proposed to improve the infrared radiometric accuracy for long distance targets in this paper. This method used near-range standard reference source measurement (NRSRM) to calculate the actual atmospheric transmittance and path radiation simultaneously at different locations in a real-time environment. And the theoretical atmospheric transmission and path radiation under the corresponding conditions could be obtained from the atmospheric radiation transmission software as well. Neural network technology was applied to fit the non-linear relationship between them. Thus, the atmospheric transmittance and path radiation over long distances could be predicted to achieve atmospheric correction. Simpler linear atmospheric correction (LAC) and linear enhancement atmospheric correction (LEAC) were also carried out for comparison. The experimental results indicate that the infrared radiometric average error of the proposed method is 6.45%, which is much lower than that of the conventional method, LAC and LEAC that are 16.17%, 11.27% and 7.44%, respectively. 2020, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/64724]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | G. Yang,Z. Li,C. Zhao,Y. Yu,Y. Qiao and F. He. Nonlinear atmospheric correction based on neural network for infrared target radiometry[J]. Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering,2020,49(5). |
| APA | G. Yang,Z. Li,C. Zhao,Y. Yu,Y. Qiao and F. He.(2020).Nonlinear atmospheric correction based on neural network for infrared target radiometry.Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering,49(5). |
| MLA | G. Yang,Z. Li,C. Zhao,Y. Yu,Y. Qiao and F. He."Nonlinear atmospheric correction based on neural network for infrared target radiometry".Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering 49.5(2020). |
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