CCD图像快速Smear消除算法及其在星载成像设备地面检测系统上的应用

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关键 词：星载高光谱成像仪;帧转移CCD;Smear效应；地面检测系统中图分类号：TH744.1;TP751 文献标识码：Adoi：10.37188/OPE.20253309.1471 CSTR：32169.14.OPE.20253309.1471

Smear quick removing algorithm of CCD image and its application in ground test system for satellite-born imaging devices

FENGYibin¹，WANGYul*，LIUGuohua¹，LINFang²，ZHANGQuan²， HUChengrui，ZHANG Xiaoli1

（1. Institutes ofPhysical Science and Information Technology，Anhui University，Hefei 23OooO，China; 2.Hefei Institutes of Physical Science， Chinese Academy of Sciences，Hefei 23OO31， China） * Corresponding author， E -mail： yuwang@aiofm. ac. cn

Abstract： Satelite-borne high-resolution imaging spectrometers，employed as payloads on atmospheric observation satelites，utilize frame transfer CCDs to measure the concentration and distribution of atmo spheric components on Earth. However，the Smear efect inherent in frame transfer CCDs compromises the accuracy of spectral measurements. Traditional Smear removal algorithms，which rely on matrix representations of 2D images，are computationally complex and unsuitable for implementation in ground test systems requiring real-time performance. This study proposes an algebraic Smear removal algorithm by modeling the Smear process in accordance with the operational principles of frame transfer CCDs. The algorithm eliminates the need for matrix operations inherent in conventional methods，reducing processing time to 1/500th of that required by matrix-based approaches. It is particularly wel-suited for ground test platforms that demand high real-time performance and focus on Smear removal in static images.The paper begins by analyzing the causes of Smear in frame transfer CCDs and subsequently derives an algebraic Smear removal algorithm based on this analysis. Compared to the matrix-based algorithm implemented using the Eigen library，the proposed method reduces processing time from 8 s to 16ms . Thealgorithm has been successfully applied to the ground test system of a satelite-borne imaging spectrometer，enabling realtime Smear removal during image processing.

Key Words： satelite-borne imaging spectrometer； frame transfer CCD； Smear effect; ground test system

1引言

星载高光谱成像光谱仪通过采集地球大气层的光谱图像获得不同气体成分的浓度数据和地理分布，为气象环保和大气研究提供数据。（剩余12423字）