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Atmospheric Absorption Ratio Algorithm for Airborne Short-Wave InfraRed Hyperspectral Imagery Spectral Calibration Based on Carbon Dioxide and Water Vapor
Infrared Physics & Technology ( IF 3.3 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.infrared.2020.103514
Honglin Liu , Yueming Wang , Dong Zhang , Wei Zhou , Wei Xie

Abstract In view of the fact that the hyperspectral imager can simultaneously obtain the target’s geometric and spectral characteristics, it has been widely applied in many research fields. However, due to the changes in the laboratory and the on-board environment, center wavelengths of the on-board spectral response function (SRF) need to be recalibrated to ensure high-precision measurement of the target’s spectral characteristics retrieved by hyperspectral imager. In this paper, an on-board spectral calibration method for short-wave hyperspectral imager based on constructing differential function between the simulated and the actual absorption ratios is introduced in detail, and the center wavelength offsets of the on-board SRF during the operation process can be monitored through the statistics of the best spectral smoothing position of each frame of the flight image. Moreover, the on-board offsets of SRF in different spectral channels is studied in this paper. Experiments show that the deviation of SRF of on-board hyperspectral imager is not linear, and the three-sigma confidence interval is ±0.38 nm. The method is beneficial to improve the practical application ability of short-wave hyperspectral imagers.

中文翻译:

基于二氧化碳和水蒸气的机载短波红外高光谱图像光谱校准的大气吸收比算法

摘要 鉴于高光谱成像仪可以同时获取目标的几何特征和光谱特征,在许多研究领域得到了广泛的应用。然而,由于实验室和机载环境的变化,需要重新校准机载光谱响应函数(SRF)的中心波长,以确保高光谱成像仪对目标光谱特征的高精度测量。本文详细介绍了一种基于构造模拟吸收率与实际吸收率微分函数的短波高光谱成像仪机载光谱校准方法,通过统计每帧飞行图像的最佳光谱平滑位置,可以监测到机载SRF在运行过程中的中心波长偏移。此外,本文还研究了不同光谱通道中 SRF 的机载偏移。实验表明,机载高光谱成像仪的SRF偏差不是线性的,三西格玛置信区间为±0.38 nm。该方法有利于提高短波高光谱成像仪的实际应用能力。
更新日期:2020-12-01
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