Study on the Performance Testing of HgCdTe Infrared Detectors in front of the Cryogenic Blackbody

Xiaoman Li, Wenpo Ma, Feng Zhou
{"title":"Study on the Performance Testing of HgCdTe Infrared Detectors in front of the Cryogenic Blackbody","authors":"Xiaoman Li, Wenpo Ma, Feng Zhou","doi":"10.1109/ICGMRS55602.2022.9849293","DOIUrl":null,"url":null,"abstract":"In the field of deep space exploration, remote sensors with cryogenic optics for reducing the optics radiation and increasing the remote sensing sensitivity are used for detecting celestial bodies at a long distance. A cryogenic infrared blackbody simulator working in the range of 40-300K which is continuously adjustable in front of the detector was developed, for the performance testing of the background limit detector data collection. The methods of performance parameters measurements for infrared detectors were analyzed in the paper, and the performance detection test of infrared detectors under room temperature and deep low-temperature were introduced. When in front of the cryogenic blackbody, the maximum value of integration time of the infrared detector could be 13 times longer than in front of room temperature blackbody. Meanwhile, the ratidetection rate was 15 times larger. The relationship between the working temperature of optical system and sensitivity of the system could be quantified. The result could be applied for the design of the remote sensing system.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the field of deep space exploration, remote sensors with cryogenic optics for reducing the optics radiation and increasing the remote sensing sensitivity are used for detecting celestial bodies at a long distance. A cryogenic infrared blackbody simulator working in the range of 40-300K which is continuously adjustable in front of the detector was developed, for the performance testing of the background limit detector data collection. The methods of performance parameters measurements for infrared detectors were analyzed in the paper, and the performance detection test of infrared detectors under room temperature and deep low-temperature were introduced. When in front of the cryogenic blackbody, the maximum value of integration time of the infrared detector could be 13 times longer than in front of room temperature blackbody. Meanwhile, the ratidetection rate was 15 times larger. The relationship between the working temperature of optical system and sensitivity of the system could be quantified. The result could be applied for the design of the remote sensing system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
低温黑体前HgCdTe红外探测器性能测试研究
在深空探测领域,为了减少光学辐射,提高遥感灵敏度,采用低温光学遥感器进行远距离天体探测。研制了40-300K连续可调低温红外黑体模拟器,用于本底限探测器数据采集的性能测试。分析了红外探测器性能参数的测量方法,介绍了红外探测器在室温和深低温条件下的性能检测试验。在低温黑体前,红外探测器的积分时间最大值可达到常温黑体前的13倍。同时,检出率提高了15倍。光学系统的工作温度与系统灵敏度之间的关系是可以量化的。研究结果可用于遥感系统的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on UAV remote sensing multispectral image compression based on CNN MDNet: A Multi-modal Dual Branch Road Extraction Network Using Infrared Information Quantitative Evaluation of Digital Orthophoto Map Influence of shallow ocean front on propagation characteristics of low frequency sound energy flow Application of GA-BP neural network in prediction of chl-a concentration in Wuliangsu Lake
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1