Benefits of imagery collection for enhancing intelligence gathering

Dave Bunt, G. Lamm, J. Buckingham
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Abstract

Weather and other environmental data are critical information that affects the decision-making abilities of the warfighter and commanders on the battlefield. Disposable, air-droppable, meteorological tower array (DAMTA) consists of a sensor-based platform that will be dispersed over an area of interest. The data (wind speed, direction, temperature, humidity and barometric pressure) and images from DAMTA are used to enhance the accuracy of the current Army forecast models, provide information on remote areas of the battlefield, provide forecasting for future battlefield operations and gather additional information about out of sector areas. We explored the capabilities imagery brings to DAMTA in future military operations and the integration of DAMTA into future combat systems. We focused on: 1) how imagery can assist specific military operations; 2) the trade-offs, attributes and relationships of imagery; 3) the configuration of the imagery-capturing device and 4) the vulnerabilities of imagery-based devices on sensors in several types of environments. We focus on the system integration tasks and tools used to identify the benefits of imagery collection for enhancing intelligence gathering.
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图像收集对加强情报收集的好处
天气和其他环境数据是影响战场上作战人员和指挥官决策能力的关键信息。一次性、可空投的气象塔阵列(DAMTA)由一个基于传感器的平台组成,该平台将分散在感兴趣的区域。来自DAMTA的数据(风速、风向、温度、湿度和气压)和图像用于提高当前陆军预测模型的准确性,提供战场偏远地区的信息,为未来战场行动提供预测,并收集有关扇区外地区的额外信息。我们探索了图像在未来军事行动中为DAMTA带来的能力,以及将DAMTA集成到未来作战系统中的能力。我们专注于:1)图像如何协助具体的军事行动;2)意象的取舍、属性和关系;3)图像捕获设备的配置;4)基于图像的设备在几种环境中对传感器的漏洞。我们的重点是系统集成任务和工具,用于识别图像收集的好处,以加强情报收集。
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