Analysis of the means to improve the temperature sensitivity of thermal IR remote sensing system

Xiaoman LI; Yanhua ZHAO; Wenpo MA

doi:10.11834/jrs.20211231

Platforms & Loads | Views : 0 下载量: 742 CSCD: 5

PDF
Export
Share
Collection
Album

Analysis of the means to improve the temperature sensitivity of thermal IR remote sensing system
Vol. 25, Issue 8, Pages: 1655-1660(2021)
Received：25 April 2021，

Published：07 August 2021
DOI： 10.11834/jrs.20211231
稿件说明：

移动端阅览

李晓曼，赵艳华，马文坡.2021.热红外遥感器温度灵敏度提升手段简析.遥感学报，25（8）： 1655-1660 DOI： 10.11834/jrs.20211231.

Li X M，Zhao Y H and Ma W P. 2021. Analysis of the means to improve the temperature sensitivity of thermal IR remote sensing system. National Remote Sensing Bulletin， 25（8）：1655-1660 DOI： 10.11834/jrs.20211231.

摘要

热红外遥感器主要使用遥感手段感应地物热红外辐射信息，可用于识别地物和反演地表温度参数。由于热红外遥感器在夜间的工作工作能力优于可见光，且环境适应性好，已广泛应用于资源调查、生态环境监测、灾害评估以及军事目标探测识别等领域。随着工程应用及科学研究的不断深入，提升热红外遥感器的探测灵敏度需求日益迫切。热红外遥感器的温度灵敏度与遥感器自身收集目标能量的能力和遥感器系统噪声特性相关。其中，遥感器系统噪声由光子噪声（景物辐射和遥感器本体背景辐射共同到达焦平面处的光子的波动）、探测器组件噪声、电路噪声共同组成。在成像谱段、积分时间、探测器及视频电路参数固定的条件下，光学系统降温能够减小其自身背景辐射，降低光子噪声，提升系统的温度灵敏度。本文通过仿真分析量化了光学系统辐射与光路设计、光学系统工作温度以及探测器冷屏设置的关系，并以某热红外遥感器为例验证了光学系统温度对热红外遥感器温度灵敏度的影响。文中的仿真分析方法和验证情况对于热红外遥感器的设计研制有参考意义。

Abstract

TIR remote sensing systems mainly use remote sensing means to sense the thermal infrared radiation difference of ground objects

which can be used to identify ground objects and retrieve surface temperature parameters. TIR remote sensing detecting technology has been widely used in resource investigation

ecological environment monitoring

disaster assessment and military target detection and recognition because of its excellent working ability in bad weather and night. With the deepening of engineering application and scientific research

it is urgent to improve the thermal sensitivity of infrared remote sensors. In the design of TIR remote sensing system

for the application needs of detection capability

the target

background need to consider the three main factors of the system. Noise Equivalent Temperature Difference (NETD) is an important indicator of representing the temperature sensitivity of the remote sensing system. NETD could be affected by the optical system radiation on the TIR remote sensing system.The influence of NETD by optical system radiation could be analyzed by the method of the number of noise electron or by the method of

of the detector. The noise of the remote sensor system consists of photon noise (scene radiation and the fluctuation of the main background radiation reaching the focal plane)

detector assembly noise and circuit noise. Under the condition of fixed imaging spectrum

integral time

detector and video circuit parameters

the cryogenic optical system can reduce its own radiation

reduce the photon noise

and improve the temperature sensitivity of the system. This paper quantified the relationship between optical system radiation and optical path design

operating temperature and the temperature sensitivity of thermal infrared remote sensing camera. The simulation method uses the software TracePro to conduct light tracing

analyzes the irradiance distribution of the optical system and the optical machine structure at the respective working temperature

and finally accumulates all the components to obtain the total radiation amount on the detector. The working temperature of optical system will affect the temperature sensitivity of the system. When the optical system radiation drops to lower than 1/10 of the target signal radiation

it could be regarded as a background-limiting detecting system

where the optical system radiation impact on the temperature sensitivity of the thermal infrared remote sensor can be ignored. In the load design

when the detector type is fixed

the sensitivity of load detection can be improved by reducing the optical system temperature. In order to verify the influence of changing the temperature of the optical system on the temperature sensitivity of the thermal infrared remote sensor

an airborne infrared remote sensor was designed and developed. The working temperature of the optical lens of the infrared remote sensor was changed form 313 K to 293 K

and NETD was tested. With the decrease of optical system temperature

the temperature sensitivity is improved. So the performance improvement was verified by the NETD testing. With the limitation of atmospheric temperature of airborne thermal infrared remote sensor below the dew point

this test did not carry out the performance verification of the temperature below 293 K. NETD test of the remote sensor with the lower temperature work on the deep low temperature working in the vacuum tank will be done in future. The development of this study is important for the design and development of cryogenic optical TIR remote sensing systems.

关键词

Keywords

references

Collaudin B and Rando N . 2000 . Cryogenics in space: A review of the missions and the technologies . Cryogenics , 40 ( 12 ): 797 - 819 [ DOI: 10.1016/S0011-2275(01)00035-2 http://dx.doi.org/10.1016/S0011-2275(01)00035-2 ]

Duan S B , Ru C , Li Z L , Wang M M , Xu H Q , Li H , Wu P H , Zhan W F , Zhou J , Zhao W , Ren H Z , Wu H , Tang B H , Zhang X , Shang Guo F and Qin Z H . 2021 . Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data . National Remote Sensing Bulletin , 25 ( 8 ): 1591 - 1617

段四波 , 茹晨 , 李召良 , 王猛猛 , 徐涵秋 , 历华 , 吴鹏海 , 占文凤 , 周纪 , 赵伟 , 任华忠 , 吴骅 , 唐伯惠 , 张霞 , 尚国琲 , 覃志豪 . 2021 . Landsat卫星热红外数据地表温度遥感反演研究进展 . 遥感学报 , 25 ( 8 ): 1591- 1617 [ DOI: 10.11834/jrs.20211296 http://dx.doi.org/10.11834/jrs.20211296 ]

Li C L , Wu G , Liu Y N and Wang J Y . 2006 . Study of cryogenic optics system’s radiation characteristic . Laser & Infrared , 36 ( 012 ): 1146 - 1148

李春来 , 吴刚 , 刘银年 , 王建宇 . 2006 . 低温光学系统辐射特性研究 . 激光与红外 , 36 ( 12 ): 1146- 1148 [ DOI: 10.3969/j.issn.1001-5078.2006.12.018 http://dx.doi.org/10.3969/j.issn.1001-5078.2006.12.018 ]

Li J S , Chen X and Li J H . 2014 . Infrared radiation characteristics contrast between target and background on different grounds . Infrared and Laser Engineering , 43 ( 02 ): 424 - 428

李俊山 , 陈霞 , 李建华 . 2014 . 不同地面背景下目标与背景红外辐射对比特性 . 红外与激光工程 , 43 ( 02 ): 424- 428 [ DOI: 10.3969/j.issn.1007-2276.2014.02.015 http://dx.doi.org/10.3969/j.issn.1007-2276.2014.02.015 ]

Liu Z J , Zhou F , Luo Q and Wang H Y . 2006 . The Study on Detect ability Calculation Method of Space Infrared Camera . Proceedings of the 19th Academic Conference of the Space Exploration Committee of the Chinese Society of Space Sciences (Volume I), Zhejiang : Space Exploration Committee of the Chinese Society of Space Sciences : 289 - 294

刘兆军 , 周峰 , 罗渠 , 王怀义 . 2006 . 空间红外相机探测能力理论计算方法研究 . 中国空间科学学会空间探测专业委员会第十九次学术会议论文集(上册), 浙江：中国空间科学学会空间探测专业委员会： 289 - 294

Long L and WANG Z M . 2013 . An on-orbit calibration method based on characteristic of satellites . Spacecraft Recovery&Remote Sensing , 34 ( 04 ): 77 - 85

龙亮 , 王中民 . 2013 . 一种基于卫星敏捷特性的在轨辐射定标方法 . 航天返回与遥感 , 34 ( 04 ): 77- 85 [ DOI: 10.3969/j.issn.1009-8518.2013.04.011 http://dx.doi.org/10.3969/j.issn.1009-8518.2013.04.011 ]

Ma W P . Space Optical Remote Sensing Technology . 2011 . Beijing：China Science Press： 213 - 217

马文坡 . 航天光学遥感技术 . 北京：中国科学技术出版社： 163 - 170

Sobrino J A , Jimenez-Muiioz J C and Aolini L . 2004 . Land surface temperature retrieval from LANDSAT TM 5 . Remote Sensing of Environment , 90 ( 04 ): 434 - 440 [ DOI: 10.1016/j.rse.2004.02.003 http://dx.doi.org/10.1016/j.rse.2004.02.003 ]

Wang S T , Zhang W and Wang Q . 2012 . Measurement for detectivity of infrared detectors in low temperature background . Optics and Precision Engineering , 20 ( 3 ): 484 - 484

王世涛 , 张伟 , 王强 . 2012 . 红外探测器件在低温背景下的探测率测试 . 光学精密工程 , 20 ( 3 ): 484- 484 [ DOI: 10.3788/OPE.20122003.0484 http://dx.doi.org/10.3788/OPE.20122003.0484 ]

Wu H , Li X J , Li Z L , Duan S B and Qian Y G . 2021 . Hyperspectral thermal infrared remote sensing:current status and perspectives . National Remote Sensing Bulletin , 25 ( 8 ): 1567 - 1590

吴骅 , 李秀娟 , 李召良 , 段四波 , 钱永刚 . 2021 . 高光谱热红外遥感: 现状与展望 . 遥感学报 , 25 ( 8 ): 1567- 1590 [ DOI: 10.11834/jrs.20211306 http://dx.doi.org/10.11834/jrs.20211306 ]

Wu L M , Zhou F and Wang H Y . 2010 . Study on the relationship between the infrared detectors background limit detectiviy and the optical systems work temperature . Spacecraft Recovery&Remote Sensing , 31 ( 01 ): 40 - 45

吴立民 , 周峰 , 王怀义 . 2010 . 红外探测器比探测率与光学系统工作温度关系研究 . 航天返回与遥感 , 31 ( 01 ): 40- 45 [ DOI: 10.3969/j.issn.1009-8518.2010.01.006 http://dx.doi.org/10.3969/j.issn.1009-8518.2010.01.006 ]

Xiong X , Wenny B , Sun J , Angal A , Chen H , Geng X , Choi T , Madhavan S and Link D . 2013 . Status of MODIS on-orbit calibration and characterization . Remote Sensing , 8889 ( 1 ): S89 . [ DOI: 10.1117/12.2028953 http://dx.doi.org/10.1117/12.2028953 ]

Zeng G H . 2012 . Performance HgCdTe infrared detector at different temperatures . Infrared Technology , 34 ( 01 ): 1 - 3

曾戈虹 . 2012 . HgCdTe红外探测器性能分析 . 红外技术 , 34 ( 01 ): 1- 3 [ DOI: 10.3969/j.issn.1001-8891.2012.01.001 http://dx.doi.org/10.3969/j.issn.1001-8891.2012.01.001 ]

Zhao L M , Yu T , Tian Q J , Gu X F , Li J G and Wan W . 2010 . Error analysis of the land surface temperature retrieval using HJ-1B thermal infrared remote sensing data . Spectroscopy and Spectral Analysis , 30 ( 12 ): 3359 - 3362

赵利民 , 余涛 , 田庆久 , 顾行发 , 李家国 , 万玮 . HJ-1B热红外遥感数据陆表温度反演误差分析 . 光谱学与光谱分析 , 30 ( 12 ): 3359 - 3362 ) [ DOI: 10.3964/j.issn.1000-0593(201012-3359-04 http://dx.doi.org/10.3964/j.issn.1000-0593(2010)12-3359-04 ]

Zhou T Y , Wang Z H , Qin H Y and Zeng Y Q . 2020 . Remote sensing extraction of geothermal anomaly based on terrain effect correction . Journal of Remote Sensing , 24 ( 03 ): 55 - 66 .

周桃勇 , 王正海 , 秦昊洋 , 曾雅琦 . 2020 . 地形效应校正的遥感地热异常提取 . 遥感学报 , 24 ( 03 ): 55- 66 [ DOI: CNKI:SUN:YGXB.0.2020-03-006 http://dx.doi.org/CNKI:SUN:YGXB.0.2020-03-006 ]

Alert me when the article has been cited

提交

Landslide susceptibility assessment of the Luding 9.5 earthquake area by fusing LT-1 ascending and descending ground deformation observations

Small wetland extraction based on Sentinel-1 time-series data and MultiRocket-RF model

Identification and analysis of forest loss drivers in Africa based on multisource time-series remote sensing products

Hyperspectral image classification network based on multiscale supervised contrastive learning

Comparative verification of cloud particle effective radius at cloud top by satellite retrieval and airborne measurement