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Reduction of stripe noise in ACSPO clear-sky radiances and SST

机译：减少ACSPO晴空辐射和SST中的条纹噪声

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摘要

Errors in the radiometric calibration of detectors introduce stripe noise in the images captured by multide-tector spectroradiometers. Consequently, native resolution sea surface temperature (SST) maps derived from these instruments often display pronounced striping which reduces the accuracy of the data and its usefulness for low-level processing tasks such as thermal front detection. An algorithm has been designed to reduce the effect of striping and improve the imagery quality of the National Environmental Satellite, Data and Information Service (NESDIS) Advanced Clear-Sky Processor for Ocean (ACSPO) SST products. Using three days of Terra/Aqua MODIS and NPP VIIRS top-of-atmosphere clear-sky calibrated radiances, the performance of the proposed method was tested via quantitative and qualitative analysis. Preliminary results reported in this paper demonstrate substantial improvement in image quality without any impact on the geometrical features or global statistics of SST data.
机译：检测器辐射校准的错误会在多探测器分光光度计捕获的图像中引入条纹噪声。因此，从这些仪器获得的原始分辨率海面温度（SST）图通常会显示明显的条带化，这会降低数据的准确性及其在诸如热锋面检测等低级处理任务中的有用性。设计了一种算法来减少条纹影响，并提高美国国家环境卫星，数据和信息服务（NESDIS）海洋高级晴空处理器（ACSPO）SST产品的图像质量。使用三天的Terra / Aqua MODIS和NPP VIIRS大气晴空校准辐射，通过定量和定性分析测试了该方法的性能。本文报道的初步结果表明，图像质量有了实质性改善，而对SST数据的几何特征或全局统计数据没有任何影响。

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