Onboard processor for compressing HSI data

S. Cook, J. Harsanyi
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引用次数: 2

Abstract

As HSI (hyperspectral imaging) sensor technology continues to mature, the ever-increasing amounts of sensor data generated will result in a need for more cost effective communication and data handling systems. Lockheed Martin, with considerable experience in spacecraft design and in developing special purpose onboard processors, has teamed with Applied Signal & Image Technology (ASIT), which has extensive heritage in HSI, to develop a real-time and intelligent onboard processing (OBP) system to reduce HSI sensor downlink requirements. Our goal is to reduce the downlink requirement by a factor >100, while retaining the necessary spectral fidelity of the sensor data needed to satisfy the many science, military, and intelligence goals of these systems. Our spectral compression technique leverages commercial-off-the-shelf (COTS) spectral exploitation algorithms for segmentation, material identification and spectral compression that ASIT has developed. Other commercially available COTS software for spatial compression will also be employed as part of the overall compression processing sequence.
板载处理器用于压缩HSI数据
随着HSI(高光谱成像)传感器技术的不断成熟,产生的传感器数据量不断增加,将导致对更具成本效益的通信和数据处理系统的需求。洛克希德·马丁公司在航天器设计和开发专用机载处理器方面拥有丰富的经验,该公司与应用信号与图像技术公司(ASIT)合作,开发一种实时和智能机载处理(OBP)系统,以减少HSI传感器下行链路的需求。ASIT公司在HSI领域拥有广泛的传统。我们的目标是将下行链路的要求降低100倍以上,同时保留传感器数据的必要频谱保真度,以满足这些系统的许多科学、军事和情报目标。我们的光谱压缩技术利用ASIT开发的商用现货(COTS)光谱利用算法进行分割、材料识别和光谱压缩。其他商业上可用的空间压缩COTS软件也将被用作整体压缩处理序列的一部分。
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