光辉
遥感
数据条带化
可见红外成像辐射计套件
高光谱成像
偏移量(计算机科学)
卫星
环境科学
辐射测量
光谱带
红外线的
辐射计
近红外光谱
地球观测卫星
像素
图像拼接
地球观测
先进超高分辨率辐射计
二次函数
多项式的
中分辨率成像光谱仪
亮度
卫星图像
探测器
图像分辨率
辐照度
计算机科学
漫射天空辐射
红外窗口
作者
Lei Ning,Xiaoxiong Xiong,Kevin A. Twedt,Sherry Li,Xu Geng
标识
DOI:10.1109/tgrs.2026.3652924
摘要
The Visible Infrared Imaging Radiometer Suite (VIIRS) is an Earth-observing satellite sensor. Out of the 22 VIIRS spectral bands, five are the short-wave infrared (SWIR) bands. Earth views of these bands for the VIIRS instrument aboard the NOAA-20 (N20) satellite have unexpected striping. The scene spectral radiance is retrieved by using a cubic polynomial of the background removed detector digital number with the offset set to zero. To minimize the striping, we develop an algorithm to find the offsets from the striping assessments of the satellite images of the Sahara Desert, deep convective clouds (DCCs) around the equator, and the Moon. We use the average of the offsets obtained from these three scenes and the other coefficients in the original cubic polynomial to update the polynomial coefficient look-up-table that is used for the NASA N20 VIIRS top-of-the-atmosphere spectral radiance and reflectance retrievals in Collection 2.1. After the application of the derived offsets, the striping from the scenes and the Libya 4 Desert is significantly reduced, except bands I3 and M10 over the DCC scene. For the DCC scene, the original striping for bands I3 and M10 is reduced but not significantly. In the case that the quadratic term in the polynomial also contributes to the observed striping, we further develop an algorithm to find both the offset and the quadratic term coefficient from striping assessments of two scenes whose spectral radiance levels differ significantly.
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