亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Military applications of hyperspectral imagery

高光谱成像 计算机科学 全光谱成像 遥感 系统工程 人工智能 地理 工程类
作者
Xavier Briottet,Yann G. Boucher,Alwin Dimmeler,A. Malaplate,Andrea Cini,Marco Diani,H. H. P. Th. Bekman,Paul Schwering,T. Skauli,Ingebjørg Kåsen,I. Renhorn,Lena M. Klasen,Mitchell Gilmore,David Oxford
出处
期刊:Proceedings of SPIE [SPIE]
卷期号:6239: 62390B-62390B 被引量:98
标识
DOI:10.1117/12.672030
摘要

Optical imaging, including infrared imaging, generally has many important applications, both civilian and military. In recent years, technological advances have made multi- and hyperspectral imaging a viable technology in many demanding military application areas. The aim of the CEPA JP 8.10 program has been to evaluate the potential benefit of spectral imaging techniques in tactical military applications. This unclassified executive summary describes the activities in the program and outlines some of the results. More specific results are given in classified reports and presentations. The JP 8.10 program started in March 2002 and ended in February 2005. The participating nations were France, Germany, Italy, Netherlands, Norway, Sweden and United-Kingdom, each with a contribution of 2 man-years per year. Essential objectives of the program were to: 1) analyze the available spectral information in the optronic landscape from visible to infrared; 2) analyze the operational utility of multi- and hyperspectral imaging for detection, recognition and identification of targets, including low-signature targets; 3) identify applications where spectral imaging can provide a strong gain in performance; 4) propose technical recommendations of future spectral imaging systems and critical components. Finally, a stated objective of the JP 8.10 program is to "ensure the proper link with the image processing community". The presentation is organized as follows. In a first step, the two trials (Pirrene and Kvarn) are presented including a summary of the acquired optical properties of the different landscape materials and of the spectral images. Then, a phenomenology study is conducted analyzing the spectral behavior of the optical properties, understanding the signal at the sensor and, by processing spectroradiometric measurements evaluating the potential to discriminate spectral signatures. Cameo-Sim simulation software is presented including first validation results and the generation of spectral synthetic images. Results obtained on measured and synthetic images are shown and discussed with reference to two main classes of image processing tasks: anomaly detection and signature based target detection. Furthermore, preliminary works on band selection are also presented which aim to optimize the spectral configuration of an image sensor. Finally, the main conclusions of the WEAG program CEPA JP8.10 are given.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
11秒前
15秒前
15秒前
liwanting李婉婷完成签到,获得积分10
16秒前
奶味蓝完成签到 ,获得积分10
19秒前
科研通AI6.4应助Andrew采纳,获得50
19秒前
22秒前
aikeyan完成签到 ,获得积分10
24秒前
27秒前
风中的晓兰完成签到,获得积分10
30秒前
Wells应助科研通管家采纳,获得10
38秒前
38秒前
kd1412完成签到 ,获得积分10
38秒前
清爽的孤丝完成签到,获得积分10
45秒前
45秒前
48秒前
cx发布了新的文献求助50
53秒前
53秒前
羞涩的初兰完成签到 ,获得积分20
55秒前
JamesPei应助落伍少年采纳,获得10
1分钟前
Leedesweet发布了新的文献求助10
1分钟前
彩色口红完成签到,获得积分10
1分钟前
复杂芷文完成签到,获得积分10
1分钟前
桃之夭夭完成签到 ,获得积分10
1分钟前
科研通AI6.4应助Leedesweet采纳,获得10
1分钟前
gjww发布了新的文献求助100
1分钟前
qingzx发布了新的文献求助10
1分钟前
1分钟前
诺曦完成签到,获得积分10
1分钟前
赘婿应助稻草人采纳,获得50
1分钟前
1分钟前
orixero应助现代的初雪采纳,获得10
1分钟前
PATer发布了新的文献求助10
1分钟前
海洋球完成签到,获得积分10
1分钟前
1分钟前
稻草人发布了新的文献求助50
2分钟前
PATer完成签到,获得积分10
2分钟前
研友_惊鸿完成签到,获得积分10
2分钟前
合适的太英完成签到,获得积分10
2分钟前
稻草人完成签到,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7738660
求助须知:如何正确求助?哪些是违规求助? 9287722
关于积分的说明 20184639
捐赠科研通 7316600
什么是DOI,文献DOI怎么找? 3305993
关于科研通互助平台的介绍 2458309
邀请新用户注册赠送积分活动 2315876