Modeling and simulation of aerial imaging under unconventional weather conditions

被引：0
|
作者：
Ming D.-L. [1 ]
Tian J.-W. [1 ]
Wang M. [1 ]
Su J.-H. [2 ]
机构：
[1] National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
[2] Research and Development Center of the 3rd Academy of CASIC
来源：
Yuhang Xuebao/Journal of Astronautics | 2010年 / 31卷 / 05期
关键词：
Aerial imaging; Point spread function; Simulation; Unconventional weather condition;
D O I：
10.3873/j.issn.1000-1328.2010.05.028
中图分类号：
学科分类号：
摘要：
General research on analysis and synthesis of out-door scene image only considers changes in light of sunny and cloudy day, but for aviation and other practical applications, the influence of degraded images captured under fog and rain weather can not be ignored. A specific simulation flowchart of imaging for outdoor scene under fog and rain weather is given in this paper. The research on the effect of point spread function on images is carried out and the ultimate point spread function is generated, by converting one-dimensional modulation transfer function into two-dimensional modulation transfer function. With important meteorological data such as visible distance, particle correlation distance and the image from pollution-free scenes, the fog and rain image under different weather conditions can be well simulated using the algorithm proposed in this paper.
引用
收藏
页码：1433 / 1437
页数：4
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