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Multi-Sensor Airborne Imagery Collection and Processing Onboard Small Unmanned Systems

机译:小型无人机系统上的多传感器机载图像采集和处理

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摘要

FEATHAR (Fusion, Exploitation, Algorithms, and Targeting for High-Altitude Reconnaissance) is an ONR funded effort to develop and test new tactical sensor systems specifically designed for small manned and unmanned platforms (payload weight < 50 lbs). This program is being directed and executed by the Naval Research Laboratory (NRL) in conjunction with the Space Dynamics Laboratory (SDL). FEATHAR has developed and integrated EyePod, a combined long-wave infrared (LWIR) and visible to near infrared (VNIR) optical survey & inspection system, with NuSAR, a combined dual band synthetic aperture radar (SAR) system. These sensors are being tested in conjunction with other ground and airborne sensor systems to demonstrate intelligent real-time cross-sensor cueing and in-air data fusion. Results from test flights of the EyePod and NuSAR sensors will be presented.
机译:FEATHAR(融合,开发,算法和针对高空侦察的目标)是ONR资助的一项工作,用于开发和测试专门为小型载人和无人平台(有效载荷重量<50 lbs)设计的新型战术传感器系统。该程序由海军研究实验室(NRL)和空间动力学实验室(SDL)共同指导和执行。 FEATHAR已开发并集成了组合长波红外(LWIR)和可见到近红外(VNIR)光学勘测系统的EyePod,以及组合双波段合成孔径雷达(SAR)系统NuSAR。这些传感器正在与其他地面和空中传感器系统一起进行测试,以演示智能实时交叉传感器提示和空中数据融合。将显示EyePod和NuSAR传感器的测试飞行结果。

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