| 改进的基于神经网络的卫星遥感图像去条带方法 |
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| 引用本文： | 王玉璘,冯旗,裴浩东,王荣,邢宏伟.改进的基于神经网络的卫星遥感图像去条带方法[J].飞行器测控学报,2006,25(2):22-25. |
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| 作者姓名： | 王玉璘 冯旗 裴浩东 王荣 邢宏伟 |
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| 作者单位： | 中国科学院上海技术物理研究所,上海,200083;北京跟踪与通信技术研究所,北京,100094 |
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| 摘 要： | 由于焦平面阵列的非均匀性影响,线阵列推扫所成的遥感图像表现出规律的条带失真,严重地影响图像质量。本文介绍一种基于神经网络的条带消除方法,以及利用该方法对实际遥感图像校正的结果。
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| 关 键 词： | 神经网络 遥感图像 条带失真 非均匀性校正 红外焦平面 |
| 收稿时间： | 2005-10-10 |
| 修稿时间： | 2006-01-05 |
Improved Method Based on Neural Network for Removing Striping of Satellite Remote Sensing Image |
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| WANG Yu-lin FENG Qi PEI Hao-dong WANG Rong XING Hong-wei.Improved Method Based on Neural Network for Removing Striping of Satellite Remote Sensing Image[J].Journal of Spacecraft TT&C Technology,2006,25(2):22-25. |
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| Authors: | WANG Yu-lin FENG Qi PEI Hao-dong WANG Rong XING Hong-wei |
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| Institution: | 1. Shanghai Institute of Technical Physics, the Chinese Academy of Sciences, Shanghai 200083 ; 2. Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094 |
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| Abstract: | Non-uniformity of infrared-focal plane arrays results in distortion of striping for the images obtained by line-array detector and seriously degrades image quality.This paper presents a method based on neural network for removing the striping.The results of correction of actual remote sensing images with the method are given. |
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| Keywords: | Neural Network Remote Sensing Image Distortion of Striping Non-uniformity Correction Infrared Focal Plane |
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