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An Accurate Method for Correcting Spectral Convolution Errors in Intercalibration of Broadband and Hyperspectral Sensors

机译:用于校正宽带和高光谱传感器的互校展中的谱卷积误差的准确方法

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摘要

The intercalibration between a broadband and a hyperspectral satellite Earth observation system requires the convolution of the hyperspectral data with the spectral response functions (SRFs) of the corresponding broadband channels. There are two potential issues associated with the convolution procedure. First, the finite resolution of a hyperspectral spectrum, that is, the deviation from the highly accurate line-by-line monochromatic radiances, will contribute to convolution errors. The magnitude of the errors depends on the spectral resolution and the SRF shape of the hyperspectral instrument. This type of the convolution error has not been well recognized, and there is a lack of corresponding discussion in most published papers. Although it is small as compared with the instrument accuracy of existing hyperspectral sounders, the error is deemed to be significant when it is compared with the stringent calibration requirement imposed by future climate missions like the Climate Absolute Radiance and Refractivity Observatory. Second, some broadband channels are insufficiently covered by the hyperspectral data, causing spectral gaps that lead to convolution errors. Although several methods have been developed to fill the spectral gaps and hence compensate for the second type of convolution error, the correction accuracy may still need improvement especially when a large spectral gap needs to be filled. This paper presents a methodology to accurately quantify and compensate for both types of convolution errors. This methodology utilizes the available hyperspectral information to correct the scene-dependent convolution errors due to either the limited spectral resolution or spectral gaps. We use simulations to characterize the intercalibration errors between the Moderate resolution Imaging Spectroradiometer (MODIS) and current operational infrared sounders. We demonstrate that convolution errors can be effectively removed to meet the highly accurate intersatellite calib
机译:宽带和高光谱卫星接地观察系统之间的互频率需要具有相应宽带信道的光谱响应函数(SRF)的高光谱数据的卷积。与卷积程序有两个潜在的问题。首先,高光谱谱的有限分辨率,即与高精度的逐行单色面条的偏差将有助于卷积误差。误差的幅度取决于超光谱仪器的光谱分辨率和SRF形状。这种类型的卷积错误尚未得到很好的认可,并且在大多数公布的论文中缺乏相应的讨论。虽然它与现有高光谱探测器的仪器准确性相比,但是当误差被认为是显着的,当它与阴恒绝对辐射和折射率天文台这样的未来气候任务所施加的严格校准要求进行比较。其次,一些宽带信道由高光谱数据不充分覆盖,导致频谱间隙导致卷积误差。尽管已经开发了几种方法来填充光谱间隙并因此补偿第二种类型的卷积误差,但是校正精度仍然需要改进,特别是当需要填充大的光谱间隙时。本文介绍了一种准确量化和补偿两种类型的卷积误差的方法。该方法利用可用的高光谱信息来校正由于有限的光谱分辨率或光谱间隙而校正现场依赖的卷积误差。我们使用模拟来表征中等分辨率成像光谱辐射器(MODIS)和当前操作红外发声器之间的闭振误差。我们证明可以有效地删除卷积错误以满足高度准确的智能型CALIB

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