1) Pol-InSAR Registration
全极化复图像配准
2) complex image registration
复图像配准
1.
Based on the system model of interferomatric SAR and the statistics of interferometric phase error, the relationships between registration accuracy and the interferometric phase error are analyzed, and a practically accurate complex image registration method that meets the interferometric phase accuracy requirement is proposed.
基于干涉合成孔径雷达 (Interfermetric Synthetic Aperture Radar-In SAR)的系统模型、干涉相位误差的统计特性 ,分析 In SAR配准精度与干涉相位误差之间的确定关系 ,讨论复图像配准过程中存在的问题 ,给出实用的 In SAR复图像配准方法 。
3) fully polarimetric SAR image
全极化SAR图像
1.
Fully using the polarimetric information and the fast convergence of AdaBoost algorithm,this method is combined with the data of channel HH、channel HV and channel VV to classify the fully polarimetric SAR images.
该方法将AdaBoost算法与HH、HV和VV三个极化通道数据结合起来,对全极化SAR图像进行分类,充分利用了极化信息和AdaBoost算法的快速收敛性。
4) image registration
图像配准
1.
Study on local extremum of object function in mutual information-based image registration;
基于互信息图像配准中的局部极值问题研究
2.
Mono-modality image registration based on modified mutual information;
基于互信息的同模态医学图像配准
3.
Research on CT image registration algorithm and its implementation;
CT图像配准算法的研究与实现
5) image co-registration
图像配准
1.
Tomography image co-registration algorithm based on principle of mechanics decomposition;
基于力学分解原理的断层图像配准算法
2.
Study on image co-registration based on matrix similarity degree;
基于矩阵相似度的InSAR图像配准方法研究
6) image matching
图像配准
1.
In order to improve the stability and reliability of image matching,application of the scale invariant feature transform(SIFT) algorithm to image matching was studied.
为了提高图像配准的稳定性和可靠性,研究了尺度不变特征变换(Scale Invariant Feature Transform)算法在图像配准中的应用。
2.
The need of the image matching mode in the anti-shore engagement was expatiated on, and the shooting process was explained.
阐述了对岸射击采用图像配准方式的必要性,说明了该射击方式的过程,并对图像配准方式射击进行了误差分析,给出了基于蒙特卡罗法的误差计算模型,并进行了仿真,指出了模型中存在的问题以及需要做的改进。
3.
The image matching was realized by output buffer technology,the gray non-uniformity of mosaic chips was corrected by ratio average method.
对多片TDI-CCD拼接技术以及由此带来的图像错位与像元不均匀性进行了介绍,采用输出缓存技术实现拼接TDI-CCD奇偶片输出图像配准,应用比值平均法校正拼接片间的灰度不均匀性,实现实时大视场拼接校正。
补充资料：配成复混肥料(见复混肥料)
配成复混肥料(见复混肥料)
肥料。配成复混肥料见复混
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条