军用车辆机载LWIR高光谱测量

R.P. Bongiovi, J. Hackwell, T.L. Hayburst
{"title":"军用车辆机载LWIR高光谱测量","authors":"R.P. Bongiovi, J. Hackwell, T.L. Hayburst","doi":"10.1109/AERO.1996.496058","DOIUrl":null,"url":null,"abstract":"Analysis of LWIR (8-13 /spl mu/m) hyperspectral data of military vehicles collected by a non-imaging sensor shows the potential of using imaging hyperspectrographs to locate and identify military vehicles. Spectral indices for soil, limestone, and vehicles are derived from in-scene data. These indices are then applied to other data sets to locate vehicles in sand and vegetation. This method consistently locates the vehicles, day or night, regardless of thermal contrast with the surroundings. Although these indices are robust, the results show that the sensor's Signal-to-Noise Ratio (SNR) of more than 1000 is barely adequate. Higher SNR will be required to accurately locate military vehicles with a low number of false alarms. An imaging LWIR hyperspectrograph is under construction to further research this area.","PeriodicalId":262646,"journal":{"name":"1996 IEEE Aerospace Applications Conference. Proceedings","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Airborne LWIR hyperspectral measurements of military vehicles\",\"authors\":\"R.P. Bongiovi, J. Hackwell, T.L. Hayburst\",\"doi\":\"10.1109/AERO.1996.496058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of LWIR (8-13 /spl mu/m) hyperspectral data of military vehicles collected by a non-imaging sensor shows the potential of using imaging hyperspectrographs to locate and identify military vehicles. Spectral indices for soil, limestone, and vehicles are derived from in-scene data. These indices are then applied to other data sets to locate vehicles in sand and vegetation. This method consistently locates the vehicles, day or night, regardless of thermal contrast with the surroundings. Although these indices are robust, the results show that the sensor's Signal-to-Noise Ratio (SNR) of more than 1000 is barely adequate. Higher SNR will be required to accurately locate military vehicles with a low number of false alarms. An imaging LWIR hyperspectrograph is under construction to further research this area.\",\"PeriodicalId\":262646,\"journal\":{\"name\":\"1996 IEEE Aerospace Applications Conference. Proceedings\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Aerospace Applications Conference. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AERO.1996.496058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Aerospace Applications Conference. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.1996.496058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

对非成像传感器采集的军用车辆LWIR (8-13 /spl mu/m)高光谱数据进行分析,显示了利用成像高光谱仪定位和识别军用车辆的潜力。土壤、石灰石和车辆的光谱指数来源于现场数据。然后将这些指数应用于其他数据集,以在沙地和植被中定位车辆。无论白天还是晚上,这种方法都能始终定位车辆,而不考虑与周围环境的热对比。虽然这些指标是稳健的,但结果表明,传感器的信噪比(SNR)超过1000是勉强足够的。需要更高的信噪比来精确定位具有低误报次数的军用车辆。为了进一步研究这一领域,一台成像LWIR高摄谱仪正在建设中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Airborne LWIR hyperspectral measurements of military vehicles
Analysis of LWIR (8-13 /spl mu/m) hyperspectral data of military vehicles collected by a non-imaging sensor shows the potential of using imaging hyperspectrographs to locate and identify military vehicles. Spectral indices for soil, limestone, and vehicles are derived from in-scene data. These indices are then applied to other data sets to locate vehicles in sand and vegetation. This method consistently locates the vehicles, day or night, regardless of thermal contrast with the surroundings. Although these indices are robust, the results show that the sensor's Signal-to-Noise Ratio (SNR) of more than 1000 is barely adequate. Higher SNR will be required to accurately locate military vehicles with a low number of false alarms. An imaging LWIR hyperspectrograph is under construction to further research this area.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信