Infrared remote sensing imaging simulation method for earth's limb scene

被引：0
|
作者：
Chen X. [1 ,2 ]
Wan M. [1 ,2 ]
Xu Y. [1 ,2 ]
Qian W. [1 ,2 ]
Chen Q. [1 ,2 ]
Gu G. [1 ,2 ]
机构：
[1] School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing
[2] Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing
来源：
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2022年 / 51卷 / 02期
关键词：
Atmospheric infrared radiation; Cloud scene; Image of limb scene; Infrared physics; Remote sensing imaging simulation;
D O I：
10.3788/IRLA20210896
中图分类号：
学科分类号：
摘要：
Simulation of earth's limb scene plays a key role in satellite infrared detection field. It is an important basis for long-range detection of high-speed airborne targets. In limb detection, the traditional infrared ocean simulation method based on three-dimensional ocean appearance and the calculation of radiation characteristics is not applicable, because the earth surface approximates a sphere. Also, the thickness and height of clouds have important influence on the calculation of infrared radiative transmission characteristics, where the method of considering the cloud as particle cluster would greatly reduce the speed of simulation. Therefore, the infrared remote sensing imaging simulation method for earth's limb scene was established by conducting the infrared radiation model of ocean and cloud, the transformation relationship between earth-space coordinate system and infrared camera coordinate system, and the atmospheric transmission model. According to the components of scene, the ocean distribution model and multi-layer clouds distribution model were established respectively, and the infrared radiation model of the earth's limb scene was established according to the infrared radiation and reflection characteristics of ocean and clouds. The infrared remote sensing simulation images of the earth's limb scene under various observation angles were calculated by the conversion relationship between earth-space coordinate system and camera coordinate system, the theory of atmospheric transmission and the sensor effect. The simulation results show that the infrared image accord with the infrared radiation characteristics of earth's limb scene. The average Laplacian sum of simulation images is 0.15, and the grayscale gradient average value of the images is 0.70. Copyright ©2022 Infrared and Laser Engineering. All rights reserved.
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共 14 条
  • [1] Zhang Jing, Wang Shurong, Huang Yu, Et al., Status and development of limb imaging spectrometers, Chinese Optics, 6, 5, pp. 692-700, (2013)
  • [2] Wang Yan, Xie Xiaofang, Yang Jian, Et al., The research on dynamic simulation of IR sea background scene, Journal of Projectiles, Rockets, Missiles and Guidance, 35, 5, pp. 199-202, (2015)
  • [3] Song Bo, Cui Wenyu, Du Lili, Et al., High-resolution satellite ocean background imaging simulation method, Infrared and Laser Engineering, 50, 9, (2021)
  • [4] Shi Bo, Li Rui, Liu Chunsheng, Et al., Research on earth's atmosphere limb background infrared radiation characteristics, Laser & Optoelectronics Progress, 52, 12, pp. 32-37, (2015)
  • [5] Wang Feixiang, Guo Jie, Xu Fangyu, Et al., Calculation and measurement of infrared atmosphere transmittance at difference altitudes, Chinese Optics, 12, 4, pp. 844-853, (2019)
  • [6] Nicodemus F E., Directional reflectance and emissivity of an opaque surface, Applied Optics, 4, 7, pp. 767-773, (1965)
  • [7] Cook R L., A reflectance models for computer graphics, Acm Transactions on Graphics, 1, 1, pp. 7-14, (1982)
  • [8] Wang Chunlei, Li Fuxing, Ma Junjun, Estimation of downwelling surface longwave radiation under cirrus cloud with remotely sensed data, Journal of Henan University (Nature Science), 51, 2, pp. 183-192, (2021)
  • [9] Wang Feng, Niu Shibo, Yue Chengfei, Et al., Design of attitude control system for ASRTU microsatellite, Optics and Precision Engineering, 28, 10, pp. 2192-2202, (2020)
  • [10] Liu Lianwei, Dong Shikui, Chen Qianrong, Et al., Infrared radiation imaging calculation of aerial target based on CUDA parallel computing, Infrared and Laser Engineering, 49, 4, (2020)
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