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GIFTS SM EDU data processing and algorithms

机译:GIFTS SM EDU数据处理和算法

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The Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) Sensor Module (SM) Engineering Demonstration Unit (EDU) is a high resolution spectral imager designed to measure infrared (IR) radiances using a Fourier transform spectrometer (FTS). The GIFTS instrument employs three Focal Plane Arrays (FPAs), which gather measurements across the long-wave IR (LWIR), short/mid-wave IR (SMWIR), and visible spectral bands. The raw interferogram measurements are radiometrically and spectrally calibrated to produce radiance spectra, which are further processed to obtain atmospheric profiles via retrieval algorithms. This paper describes the processing algorithms involved in the calibration stage. The calibration procedures can be subdivided into three stages. In the pre-calibration stage, a phase correction algorithm is applied to the decimated and filtered complex interferogram. The resulting imaginary part of the spectrum contains only the noise component of the uncorrected spectrum. Additional random noise reduction can be accomplished by applying a spectral smoothing routine to the phase-corrected blackbody reference spectra. In the radiometric calibration stage, we first compute the spectral responsivity based on the previous results, from which, the calibrated ambient blackbody (ABB), hot blackbody (HBB), and scene spectra can be obtained. During the post-processing stage, we estimate the noise equivalent spectral radiance (NESR) from the calibrated ABB and HBB spectra. We then implement a correction scheme that compensates for the effect of fore-optics offsets. Finally, for off-axis pixels, the FPA off-axis effects correction is performed. To estimate the performance of the entire FPA, we developed an efficient method of generating pixel performance assessments. In addition, a random pixel selection scheme is designed based on the pixel performance evaluation.
机译:地球同步成像傅立叶变换光谱仪(GIFTS)传感器模块(SM)工程演示单元(EDU)是一种高分辨率光谱成像仪,旨在使用傅立叶变换光谱仪(FTS)测量红外(IR)辐射。 GIFTS仪器采用三个焦平面阵列(FPAs),它们收集长波IR(LWIR),短/中波IR(SMWIR)和可见光谱带的测量值。对原始干涉图测量值进行辐射度和光谱校准,以产生辐射光谱,然后通过检索算法对其进行进一步处理,以获得大气廓线。本文介绍了校准阶段涉及的处理算法。校准程序可分为三个阶段。在预校准阶段,将相位校正算法应用于经过抽取和滤波的复杂干涉图。频谱的虚部仅包含未校正频谱的噪声分量。通过将光谱平滑例程应用于经过相位校正的黑体参考光谱,可以实现额外的随机降噪。在辐射校准阶段,我们首先根据先前的结果计算光谱响应度,从中可以得到校准的环境黑体(ABB),热黑体(HBB)和场景光谱。在后处理阶段,我们从校准的ABB和HBB光谱估算噪声等效光谱辐射度(NESR)。然后,我们实施一种校正方案,以补偿前光学偏移的影响。最后,对于离轴像素,执行FPA离轴效果校正。为了估算整个FPA的性能,我们开发了一种生成像素性能评估的有效方法。另外,基于像素性能评估设计了随机像素选择方案。

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