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Evaluation of active and passive polarimetric electro-optic imagery for civilian and military targets discrimination

机译:平民和军事目标辨​​别的主动和被动偏振电光图像评估

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摘要

Electro-optic (EO) imaging systems are commonly used to detect civilian and military targets during surveillance operations and search and rescue missions. Adding the polarization of light as additional information to such active and passive EO imaging systems may increase the target discrimination performance, as man made objects are known to depolarized light in different manner than natural background. However, while the polarization of light has been used and studied in the past for numerous applications, the understanding of the polarization phenomenology taking place with targets used in cluttered backgrounds requires additional experimentations. Specifically, the target contrast enhancement obtained by analyzing the polarization of the reflected light from either a direct polarized laser source as encountered in active imagers, or from natural ambient illumination, needs further investigation. This paper describes an investigation of the use of polarization-based imaging sensors to discriminate civilian and military targets against different backgrounds. Measurements were carried out using two custom-designed active and passive imaging systems operating in the near infrared (NIR) and the long-wave infrared (LWIR) spectral bands. Polarimetric signatures were acquired during two distinct trials that occurred in 2007, using specific civilian and military targets such as cars and military vehicles. Results demonstrate to what extent and under which illumination and environmental conditions the exploitation of active and passive polarimetric images is suitable to enable target detection and recognition for some events of interest, according to various specific scenarios.
机译:电光(EO)成像系统通常用于在监视行动,以检测平民和军事目标和搜救任务。添加光作为附加信息以这样的有源和无源EO成像系统可以增加目标判别性能的偏振,如人造物体已知去极化光在不同的方式自然背景。然而,当光的偏振已经被使用,在过去的许多应用研究,在杂乱的背景使用目标的极化现象正在发生的理解需要额外性实验。具体地,通过分析的偏振获得的目标对比度增强反射从任一个直接偏振激光光源的光在有源成像器中遇到,或从天然环境照明,需要进一步调查。本文介绍使用基于偏振成像传感器来歧视不同背景的平民和军事目标进行调查。测量进行了使用在近红外(NIR)操作的两个定制设计的主动和被动的成像系统和长波红外(LWIR)光谱带。极化签名过程中发生在2007年,使用特定的民用和诸如汽车和军用车辆军事目标的两个不同的试验被收购。结果证明在何种程度上和在其下的照明条件和环境条件的有源和无源偏振图像的开采是合适的,以使感兴趣的一些事件目标探测和识别,根据各种具体方案。

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