地面目标的中波红外高光谱成像特性测量

doi:10.3964/j.issn.1000-0593(2024)04-0937-08

Abstract
References
Related Citation (15)

Download: PDF (20891 KB)
Export: BibTeX | EndNote (RIS)

Abstract The Hyper-Cam medium-wave hyperspectral imager designed by Telops was used to measure the infrared hyperspectral imaging of a tank model on the cement floor in the 3~5 μm band. Atmospheric correction is performed on a pixel-by-pixel basis of the experimental data. Finally, according to the corrected experimental data, the effects of instrument, random, and atmospheric correction transmission errors on the test uncertainty were analyzed. The luminance distribution of the tank model on different spectral bands and the spectral distribution characteristics of different parts of the model were also analyzed. The results show that the relative uncertainty of the wavenumber in the band of 2 000~3 000 cm^-1 has been stable within 10%, but in the band greater than 3 000 cm^-1, the error rises rapidly. The error is mainly because the medium-wave radiation of the normal temperature object is low, and the target radiation in this band is close to the atmospheric radiation of the distance, and the noise caused by the increase of the noise caused by the decrease of the test signal-to-noise ratio is reduced. The average relative uncertainty of the tank model's spectral radiation brightness test data is within 17%, and the overall error is low, which has reached the advanced level in China. In terms of spectral distribution, the difference in the spectral radiation brightness of the characteristic points of each part of the tank and the cement surface in the wavelength of 4.2~5 μm is greater than that in the wavelength of 3.0~4.2 μm, and the spectral radiation brightness in the 4.2~5 μm band emitted by the detector is greater than the spectral radiation brightness of 3.0~4.2 μm in the shorter band. Since the 4.3 μm band is in the atmospheric absorption band, the average transmittance calculated by Modtran is almost 0, so a true measurement of the spectral radiation brightness on the target cannot be obtained. Regarding spatial distribution, the radiation brightness of the model is mainly concentrated on the side coating, and the radiation brightness at the muzzle and track is small. The radiant brightness distribution of typical target parts is significantly different from that of the surrounding cement surface. Among them, 4.4~4.8 μm occupies a high radiation brightness ratio, and this band's imaging effect is the best. The proportion of radiation brightness occupied by 3.2~3.8 μm is low, and the imaging effect in this band is poor. In the 4.2~4.4 μm band under the atmospheric absorption zone, because the atmospheric transmittance is almost 0, the accurate spatial radiation brightness distribution cannot be obtained. The results show that the extended medium-wave hyperspectral imager has the characteristics of accurate target discrimination, small error and “image spectrum integration” in the study of the medium-wave infrared hyperspectral imaging characteristics of ground targets, and the test data can be applied to the infrared hyperspectral stealth design of the target.

Key words：Infrared radiation characteristic measurement; Medium wave hyperspectral imaging; Atmospheric correction; Uncertainty analysis

Received: 2022-09-20 Accepted: 2022-12-06

ZTFLH:

O433.1

Corresponding Authors: CAO Yun-hua E-mail: yhcao@mail.xidian.edu.cn

Cite this article:

JIANG Yue-peng,CAO Yun-hua,WU Zhen-sen, et al. Measurement of Mid-Wave Infrared Hyperspectral Imaging Characteristics of Ground Targets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(04): 937-944.

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2024)04-0937-08 OR https://www.gpxygpfx.com/EN/Y2024/V44/I04/937

[1] HUANG Li, ZHOU Fang-fang, QI Ming, et al（黄莉, 周方方, 祁鸣, 等）. Aero Weaponry（航空兵器）, 2015，(6): 63.
[2] WANG Dong, ZHAO Wei, SHAO Ming, et al（王东, 赵威, 邵铭，等）. Infrared Technology（红外技术）, 2015, 37(6): 519.
[3] WANG Jian-yu, LI Chun-lai, WANG Yue-ming, et al（王建宇, 李春来, 王跃明, 等）. Infrared and Laser Engineering（红外与激光工程）, 2017, 46(1): 9.
[4] LI Chun-lai, LIU Cheng-yu, JIN Jian, et al（李春来, 刘成玉, 金健，等）. Journal of Infrared and Millimeter Waves（红外与毫米波学报）, 2020, 39(6): 767.
[5] LI Kai-nan, SHEN Guang-hui, YE Wen-wu（李凯楠, 沈广辉, 叶文武）. Journal of Nanjing Agricultural University（南京农业大学学报）, 2022, 45(4): 691.
[6] WU Ye-lan, GUAN Hui-ning, LIAN Xiao-qin, et al（吴叶兰, 管慧宁, 廉小亲, 等）. Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2022, 42(8): 2397.
[7] Katari S, Wallack M, Huebschman M, et al. Journal of Microscopy, 2009, 236(1): 11.
[8] Akbari H, Uto K, Kosugi Y, et al. Cancer Science, 2011, 102(4): 852.
[9] Notarstefano V, Sabbatini S, Conti C, et al. Journal of Biophotonics, 2020, 13(4): e201960071.
[10] Notesco G, Weksler S, Ben-Dor E. Remote Sensing, 2019, 11(12): 1429.
[11] LIU Jun-chi, LI Hong-wen, WANG Jian-li, et al（刘俊池, 李洪文, 王建立, 等）. Optics and Precision Engineering（光学精密工程）, 2015, 23(6): 1547.
[12] LIU Zeng-can, ZHANG Qun-xing, LUO Zhong-hua, et al（刘增灿, 张群兴, 罗中华, 等）. Equipment Environmental Engineering（装备环境工程）, 2021, 18(7): 1.
[13] GUO Xin, ZHANG Tao, GU Jian, et al(郭鑫, 张涛, 谷健, 等). Infrared(红外), 2022, 43(5): 21.
[14] JIA Yuan-yuan, LIU Xing（贾媛媛, 刘星）. Foreign Electronic Measurement Technology（国外电子测量技术）, 2020, 39(7): 27.
[15] JIA Guang-liang, SONG Yu-chen（贾光亮, 宋雨宸）. Electronics World（电子世界）, 2018, (1): 71.
[16] General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China（国家质量监督检验检疫总局）. JJF 1059.1—2012 Evaluation and Expression of Uncertainty in Measurement（测量不确定度评定与表示）. 2012. 12.
[17] WANG Yi-ran, XU Qing-shan, WEI He-li（王艺然, 徐青山, 魏合理）. Journal of Atmospheric and Environmental Optics（大气与环境光学学报），2015, 10(3): 205.