Multi-Source Image Fusion 多源图像融合
multi-source image matching 多源遥感影像匹配
Multi-source image registration 多源图像匹配
multi-source image data fusion 多源影像融合
multi-source satellite image 多源卫星影像
multi-source rs image data fusion 多源遥感影像数据融合
multi-source remote sensing image 多源遥感影像
This paper is mainly to discuss pixel-level multi-source image fusion technology.
本文主要探讨像素级多源图像融合技术。
参考来源 - 多源图像融合技术及应用研究The application of image matching is popular way in digital sampling, resampling, three-dimensional measurement, stereo modeling, multi-source image merging and other related fields.
影像匹配应用的广泛性,使得其在数字采样和重采样、影像配准、三维量测、立体建模和多源影像融合等研究中扮演着越来越重要的角色。
参考来源 - 基于半方差函数的影像匹配方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Experimental results are obtained based on analysis and discussion of practical applications of multi-source image fusion.
对多源卫星遥感影像融合的具体应用进行了分析和讨论，给出了部分实验结果。
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。
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