LWIR偏振-高光谱成像仪定标的数学模型和实验方法

Joel G. Holder, Jacob A. Martin, K. Gross
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引用次数: 1

摘要

偏振-高光谱成像将两种传统上独立的模式结合在一起,潜在地增强了场景表征能力。与传统的高光谱成像相比,这可以增加目标检测、材料识别和背景表征的信心。为了充分利用光谱偏振信号,需要仔细的校准过程来消除系统的辐射和偏振响应(增益)。在长波红外中,由于仪器本身的偏振自发射(偏移),校准变得更加复杂。本文给出了长波红外(LWIR) Telops Hyper-Cam的光谱偏振定标的数学框架和实验方法,该定标是在长波红外(LWIR)的入口孔径处安装了可旋转的线栅偏振器。使用Mueller矩阵方法建立了数学框架,以模拟系统的极化效应,并将其与标准傅立叶变换光谱仪(FTS)辐射校准框架相结合。这是在两种情况下完成的:一种假设仪器偏光片是理想的,第二种方法是考虑非理想仪器偏光片。结果表明,如果仪器偏振片可以假设为理想的,则在每个仪器偏振片角度上进行标准两点辐射校准就足以消除仪器的偏振片偏置。对于非理想偏振器,系统矩阵和穆勒偏差矩阵是实验确定的系统,并用于量化系统的非理想程度。噪声等效光谱辐射和DoLP也用广域黑体进行了量化。最后,对一个具有多种特征的场景进行成像和分析。
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Mathematical model and experimental methodology for calibration of a LWIR polarimetric-hyperspectral imager
Polarimetric-hyperspectral imaging brings two traditionally independent modalities together to potentially enhance scene characterization capabilities. This could increase confidence in target detection, material identification, and background characterization over traditional hyperspectral imaging. In order to fully exploit the spectro-polarimetric signal, a careful calibration process is required to remove both the radiometric and polarimetric response of the system (gain). In the long-wave infrared, calibration is further complicated by the polarized self-emission of the instrument itself (offset). This paper presents both the mathematical framework and the experimental methodology for the spectro-polarimetric calibration of a long-wave infrared (LWIR) Telops Hyper-Cam which has been modified with a rotatable wire-grid polarizer at the entrance aperture. The mathematical framework is developed using a Mueller matrix approach to model the polarimetric effects of the system, and this is combined with a standard Fourier-transform spectrometer (FTS) radiometric calibration framework. This is done for two cases: one assuming that the instrument polarizer is ideal, and a second method which accounts for a non-ideal instrument polarizer. It is shown that a standard two-point radiometric calibration at each instrument polarizer angle is sufficient to remove the polarimetric bias of the instrument, if the instrument polarizer can be assumed to be ideal. For the non-ideal polarizer case, the system matrix and the Mueller deviation matrix is experimentally determined for the system, and used to quantify how non-ideal the system is. The noise-equivalent spectral radiance and DoLP are also quantified using a wide-area blackbody. Finally, a scene with a variety of features in it is imaged and analyzed.
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