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1)  Registration error
配准误差
1.
An effective LUCCD method to decrease the effect of registration error;
一种有效的减弱配准误差影响的LUCCD方法
2.
When using rectangles as the target,it s difficult to measure the Modulation Transfer Function(MTF) of the space camera accurately because of the registration error between the image of the target and the pixel of the CCD at the initial sampling.
在采用矩形靶标测量航天相机系统MTF时,由于采样初始时刻靶标像与CCD像元间存在配准误差,因此给准确测量系统MTF带来很大困难。
3.
Methods After analysis of elements of the matching algorithm, the different registration algorithm performance are evaluated by the use of a comprehensive registration error based on C ++ to be realized, which can compare with the evaluation results of traditional target registration error.
方法:分析各配准要素的算法原理后,基于C++加以实现,提出使用综合配准误差来评价不同配准算法的性能,并与传统目标配准误差的评价结果作对比。
2)  coregistration error
配准误差
1.
A robust approach to ground moving target indication and localization is proposed for the multi-channel SAR system in the presence of coregistration errors.
仿真结果表明该方法对图像配准误差具有稳健性,在图像配准误差达到一个像素的情况下,该方法仍能获得与图像精确配准时相当的目标检测性能和测速定位精度。
2.
We propose a robust phase unwrapping method to coregistration error for multibaseline InSAR systems.
提出了一种对配准误差稳健的多基线相位展开方法。
3.
A novel approach to ground moving target indication and location is proposed for multi-channel SAR systems in the presence of coregistration error.
提出了一种对图像配准误差稳健的多通道合成孔径雷达地面动目标检测定位方法。
3)  registration [英][,redʒɪ'streɪʃn]  [美]['rɛdʒɪ'streʃən]
误差配准
1.
Radar registration becomes a key problem because of its heavy effect on radar data fusion.
系统偏差严重影响了多部雷达航迹的互联和目标状态的融合,因此如何解决误差配准成为一个关键问题。
2.
Some classical registration algorithms are all based on the stereographic projection,which introduce errors to the registration of the long distance sensors.
雷达组网数据处理首先要进行误差配准,来准确地估计和消除系统误差。
3.
The registration is a key problem in radar netting.
本文在实时精度控制法(RTOC)的基础上,通过构造误差配准的目标函数,将误差配准转换为非线性优化问题,并采用遗传算法进行寻优。
4)  sources of registration errors
配准误差源
5)  images registration
图像配准误差
6)  sub-pixel registration error
亚像素配准误差
补充资料:几何配准

几何配准 geometric registration

将不同时间、不同波段、不同遥感器系统所获得的同一地区的图像(数据),经几何变换使同名像点在位置上和方位上完全叠合的操作。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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