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1)  Rectification image distortion
校正图像畸变
2)  image geometric rectification
图像畸变校正
3)  Distorted Pixel correction
像元畸变校正
4)  distortion correction
畸变校正
1.
Line-based nonlinear distortion correction of a calibration image;
利用直线特征的定标图像非线性畸变校正
2.
BP NN-based method for lens distortion correction of large-field imaging;
基于BP神经网络的大视场成像畸变校正方法
3.
Method for on-line calibration and distortion correction of image measurement system;
一种图像测量系统的现场标定和畸变校正方法
5)  image distortion
图像畸变
1.
The image distortion in the vision system of Microsot Robot Soccer was analyzed.
对Microsot足球机器人视觉系统中产生图像畸变的原因进行了分析,并在此基础上建立有效的数学模型,应用Broyden拟牛顿法,快速有效地实现了图像畸变的几何校正。
2.
The principle and the rectifying method of strap-down line scanning image distortion are introdued.
 介绍了捷联式行扫图像畸变机理与矫正方法。
6)  distorted image
畸变图像
1.
Correcting the distorted image of camera in calibration process of fringe projection measurement system that can effectively improve the calibration accuracy of system.
在条纹投射测量系统的标定过程中对摄像机畸变图像进行修正,能有效地提高系统的标定精度。
2.
According to the normal distortion correction method for distorted images which obtains distortion coefficients by setting up a distortion model, but as the calculation is complicated and numerical error becomes a big problem, a distortion correction method based on neural networks is put forward in this paper.
针对传统的畸变图像校正方法,其所建立的畸变数学模型,不仅求解畸变参数复杂、计算量大,且存在很大的数值计算误差的问题,提出了一种基于神经网络的畸变图像校正方法。
3.
Firstly,it introduces the clonal selection algorithm of immunology into quantum genetic algorithm,then proposes a method which combines the HQGA and BP algorithm to supplement mutually as neural networks study algorithm applied in distorted image correction.
针对传统的非线性畸变图像校正方法存在模型建立较难等缺点,本文采用基于神经网络畸变图像校正方法,首先将免疫学中的克隆选择算法引入量子遗传算法,然后将这种混合的量子遗传算法和BP算法有机结合,优势互补作为神经网络的学习算法用于畸变图像的校正。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
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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