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Multispectral and hyperspectral imaging with AOTF for object recognition

机译:用AOTF进行多光谱和高光谱成像进行物体识别

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Acousto-optic tunable-filter (AOTF) technology has been used in the design of a no-moving parts, compact, lightweight, field portable, automated, adaptive spectral imaging system when combined with a high sensitivity imaging detector array. Such a system could detect spectral signatures of targets and/or background, which contain polarization information and can be digitally processed by a variety of algorithms. At the Army Research Laboratory, we have developed and used a number of AOTF imaging systems and are also carrying out the development of such imagers at longer wavelengths. We have carried out hyperspectral and multispectral imaging using AOTF systems covering the spectral range from the visible to mid-IR. One of the imager uses a two-cascaded collinear-architecture AOTF cell in the visible-to-near-IR range with a digital Si charge-coupled device camera as the detector. The images obtained with this system showed no color blurring or image shift due to the angular deviation of different colors as a result of diffraction, and the digital images are stored and processed with great ease. The spatial resolution of the filter was evaluated by means of the lines of a target chart. We have also obtained and processed images from another noncollinear visible-to-near-IR AOTF imager with a digital camera, and used hyperspectral image processing software to enhance object recognition in cluttered background. We are presently working on a mid-IR AOTF imaging system that uses a high- performance InSb focal plane array and image acquisition and processing software. We describe our hyperspectral imaging program and present results from our imaging experiments.
机译:声光可调滤波器(AOTF)技术已用于设计无运动部件,紧凑,轻巧,现场便携,自动化,自适应谱成像系统,当与高灵敏度成像检测器阵列相结合。这样的系统可以检测到靶和/或背景的光谱签名,其包含偏振信息,并且可以通过各种算法进行数字处理。在陆军研究实验室,我们已经开发并使用了许多AOTF成像系统,并且还在更长的波长下开发这些成像仪的发展。我们使用覆盖光谱范围的AOTF系统来执行高光谱和多光谱成像。其中一个成像器使用双级联的Collinear架构AOTF单元在可见到近IR范围内,使用数字SI电荷耦合器件相机作为检测器。利用该系统获得的图像由于衍射而导致的不同颜色的角度偏差而没有显示颜色模糊或图像移位,并且以极大的容易地存储和处理数字图像。通过目标图表的线评估滤波器的空间分辨率。我们还通过数码相机从另一个非可折叠可见到近IR AOTF成像器中获得和处理图像,并使用过高光谱图像处理软件来增强杂乱背景中的物体识别。我们目前正在使用高性能INSB焦平面阵列和图像采集和处理软件的中红外AOTF成像系统。我们描述了我们的高光谱成像计划,并从我们的成像实验中存在的结果。

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