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首页> 外文会议>Conference on Targets and Backgrounds IX: Characterization and Representation Apr 21-22, 2003 Orlando, Florida, USA >High-resolution Ground Target Infrared Signature Modeling For Combat Target Identification Training
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High-resolution Ground Target Infrared Signature Modeling For Combat Target Identification Training

机译：用于作战目标识别训练的高分辨率地面目标红外签名模型

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摘要

Recent world events have accelerated the evolution of the US military from monolithic formations arrayed against a known enemy, to a force that must respond to rapidly changing world events. New technologies are part of the Army's evolution and thermal imaging sensors are becoming more and more prevalent on the modern battlefield. These sensors are integrated into advanced weapon systems or commonly used for battlefield surveillance. Thermal imaging systems give the soldier the ability to deliver deadly force onto an enemy at long ranges at any time of day or night. The ability to differentiate friendly and threat forces in this situation is critical for the avoidance of friendly fire incidents and for the proper use of battlefield resources. The ability to foresee the location of the Army's next battlefield is becoming more difficult, and we don't know where the next battlefield will be from year to year. Infrared target recognition training tools need to be flexible, adaptable, and be based on not only the latest intelligence data but have geographically specific training available to the soldier. To address this training issue, personnel of the Measurement and Signatures Division at the National Ground Intelligence Center have created the Simulated Infrared Earth Environment Lab (SIREEL) web site. The SIREEL web site contains extensive infrared signature data on numerous threat and friendly vehicles and the site is designed to provide country-specific vehicle identification training in support of US military deployments. The bulk of the content currently on the site consists of infrared signature data collected over a decade of intelligence gathering. The site also employs state of the art infrared signature modeling capabilities to provide the soldier in training the most flexible training possible. If measured data on a vehicle is not available, the website developers have the capability to calculate the infrared signature of ground vehicles in any location, any type of terrain, any weather condition, any operational state, at any time of day on any day of the year. This allows the SIREEL website developers to completely populate target signature training databases when measured data is unavailable for required vehicles. This paper explores the methodologies and tools necessary to provide the predictive infrared ground vehicle signatures for this application.
机译：最近的世界大事加速了美军的发展，从对付已知敌人的庞大阵型发展成为必须对迅速变化的世界大事做出反应的部队。新技术是陆军发展的一部分，热成像传感器在现代战场上越来越流行。这些传感器被集成到先进的武器系统中或通常用于战场监视。红外热成像系统使士兵能够在白天或晚上的任何时间向远程敌人发动致命的力量。在这种情况下，区分友军和威胁部队的能力对于避免友军起火事件和正确使用战场资源至关重要。预知陆军下一个战场的位置的能力变得越来越困难，而且我们不知道下一个战场每年将在哪里。红外目标识别训练工具需要灵活，适应性强，并且不仅要基于最新的情报数据，而且还要有针对士兵的特定地理位置的训练。为了解决此培训问题，国家地面情报中心测量和签名处的人员创建了模拟红外地球环境实验室（SIREEL）网站。 SIREEL网站包含有关众多威胁和友好车辆的大量红外签名数据，该站点旨在提供针对特定国家/地区的车辆识别培训，以支持美国军事部署。目前，该网站上的大部分内容都包含经过十年情报收集而收集的红外签名数据。该站点还利用最先进的红外签名建模功能为士兵提供最灵活的训练。如果无法获得车辆的测量数据，则网站开发人员可以在每天的任何时间，任何位置，任何类型的地形，任何天气情况，任何运行状态下计算地面车辆的红外信号。那一年。当所需车辆无法提供测量数据时，这使SIREEL网站开发人员可以完全填充目标签名培训数据库。本文探讨了为此应用提供预测性红外地面车辆信号所必需的方法和工具。

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