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.
Non-uniformity of infrared-focal plane arrays results in distortion of striping for the images obtained by linearray 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.
出处
《飞行器测控学报》
2006年第2期22-25,共4页
Journal of Spacecraft TT&C Technology
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
Neural Network
Remote Sensing Image
Distortion of Striping
Non-uniformity Correction
Infrared Focal Plane