First of all, this dissertation researches the existing multi-source image registration techniques and introduces the principles of analysis.
首先，本文对现有的多源图像配准技术进行原理上的分析与介绍。
After giving the definition of multi-source image registration, the common image registration methods are divided into two types: intensity-based methods and feature-based methods.
在给出多源图像配准的定义后，将常见的图像配准方法分为基于图像灰度的方法和基于图像特征的方法两大类。
Zhendui different field of multi-source image fusion, we propose a affine transformation and linear combination of registration methods;
针对不同视场的多源图像融合技术，本文提出一种仿射变换和线性插值相结合的配准方法；
On the basis of comprehensively summarizing and analyzing the current image registration techniques, this dissertation emphasizes the feature-based multi-source remote sensing image registration.
论文在全面总结和分析当前图像配准技术的基础上，重点研究了基于特征的多源遥感图像配准问题。
On the basis of comprehensively summarizing and analyzing the current image registration techniques, this dissertation emphasizes the feature-based multi-source remote sensing image registration.
论文在全面总结和分析当前图像配准技术的基础上，重点研究了基于特征的多源遥感图像配准问题。
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