环境减灾二号A/B卫星高光谱成像仪CCD的Smear效应快速校正方法  被引量:1

Fast Smear Correction Method for CCD of Hyperspectral Imager on HJ-2A/B Satellites

在线阅读下载全文

作  者:陈铁桥[1,2] 胡炳樑 刘学斌[1] 李思远[1] 孙剑[1] 冯向朋[1] 王一豪 张耿 王爽[1] 李娟[1] CHEN Tieqiao;HU Bingliang;LIU Xuebin;LI Siyuan;SUN Jian;FENG Xiangpeng;WANG Yihao;ZHANG Geng;WANG Shuang;LI Juan(Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China;University of Chinese Academy of Sciences, Beijing 100049, China)

机构地区:[1]中国科学院西安光学精密机械研究所,西安710119 [2]中国科学院大学,北京100049

出  处:《航天器工程》2022年第3期71-76,共6页Spacecraft Engineering

基  金:陕西省自然科学基金(2020JQ-436,2021JQ-324)。

摘  要:环境减灾二号A/B卫星高光谱成像仪采用大面阵帧转移CCD作为成像和存储介质,以满足其高性能成像需求。然而,帧转移型CCD的Smear效应会造成干涉图像累积误差,导致干涉信息不准确,进而引起目标反演光谱失真。为了消除Smear效应影响,传统方法常利用行间信息迭代运算进行校正,导致计算耗时随着探测器面阵变大而增加。文章根据Smear效应产生的机理,推导出一种基于矩阵运算的Smear效应快速校正模型,并通过图形处理器(GPU)并行运算进行加速,以达到高效消除Smear效应的目的。试验结果表明:文章提出的方法能够很好地校正Smear效应引起的误差,同时利用GPU加速后计算速度是传统校正方法的632.4倍。The hyperspectral imager of HJ-2A/B satellites uses a big array frame transfer CCD as the imaging and storage medium for high-quality imaging requirement.However,the accumulated error of the interference image is caused by the Smear effect of frame transfer CCD,resulting in the inaccurate extraction of the interference information and spectral distortion.In order to eliminate the Smear effect,the traditional correction method often uses inter-row information iterative operations for correction,which leads to an increase in computational time as the CCD array becomes larger.Based on the mechanism of Smear effect generation,a fast correction model is proposed for Smear effect based on matrix operation and accelerates computing speed by GPU(graphic processing unit)parallel operation.The experimental results show that the proposed method can well correct the errors caused by the Smear effect,and the computation speed using GPU acceleration is 632.4 times faster than the traditional Smear correction method.

关 键 词:环境减灾二号A/B卫星 高光谱成像仪 大面阵帧转移CCD Smear效应校正 矩阵运算 并行运算 

分 类 号:V447[航空宇航科学与技术—飞行器设计]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象