In this thesis, our study is aimed at pixel-level image fusion.
本论文的研究就是基于像素级图像的融合。
This paper is mainly to discuss pixel-level image fusion technology.
本文主要探讨像素级图像融合技术。
A novel pixel-level image fusion scheme based on gradient pyramid decomposition is presented.
给出了一种新的基于对比度塔形分解的分层图像融合方法。
A novel pixel-level image fusion scheme based on gradient pyramid decomposition is presented.
该方法首先使用一种基于对比度塔形分解的图像融合技术。
From the characteristic of SAR image classifications based on pixel level and region level, this paper provides a fusion method for SAR image classifications based on edge-detection.
从基于象素的SAR图象分类和基于邻域的SAR图象分类特点出发，提出了一种基于边缘检测的SAR图象分类融合方法。
One of the keystones of the paper is image fusion algorithm based on pixel level and feature level.
本文研究的一个重点是像素级和特征级的图像融合算法。
This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.
本文重点研究像素级多传感器图像融合算法，包括简单图像融合方法、多分辨率图像融合算法和伪彩色图像融合算法。
The researches in this thesis were partly supported by three national research grants and focused on the techniques and applications of pixel level multi-sensor image fusion.
本论文结合有关国家自然科学基金、航天技术创新基金等课题要求，针对像素级多传感器图像融合方法和应用进行了深入研究。
In this dissertation, three levels of image fusion technology: pixel-level, feature-level and decision-level are studied, and some novel methods of analysis and processing are presented.
论文从像元、特征和决策融合三个方面研究了多源图像融合技术，提出了一些新的分析处理方法。
Image fusion can be divided into three levels, pixel level fusion, feature level fusion and the decision-making level fusion.
图像融合可以分为三个层次：像素级融合、特征级融合和决策级融合。
In pixel level image fusion, the multi-resolution image fusion algorithm is very important and widely utilized.
在像素级图像融合中，多分辨率图像融合算法是应用广泛且及其重要的一类算法。
This dissertation mainly aims at the research of multisensor image fusion algorithms in pixel level.
本文主要基于像素级的图像融合方法开展研究。
From the abstract level of the data which is to be dealed with, the image fusion technique can be divided intoto pixel level, feature level and decision level.
从待处理数据的抽象层次上分，融合技术可分为像素级、特征级和决策级三种。
There are many experts and scholars, have researched the image fusion methods. Generally. it can be fused at three levels: pixel level fusion, feature level fusion and decision level fusion.
已有很多专家学者对影像融合方法做过研究，一般可在三个层次上进行融合，即像素级融合、特征级融合以及决策级融合。
Under different classifications, image fusion algorithms can consist of space domain and transform domain, or pixel-level, feature-level and decision-making level.
根据图像融合分类的不同，图像融合的算法可分为空域、变换域融合算法，或像素级、特征级和决策级融合算法。
The image fusion can be divided into three fusion level, namely: pixel, feature and decision levels.
图像融合一般可分为像素级、特征级和决策级图像融合。
The image fusion based on pixel level is widely utilized at present.
目前使用广泛的是基于像素级的图像融合方法。
This paper surveys pixel, feature, and symbol level image fusion methods and compares the characteristics of different fusion levels. A few image fusion algorithms of each level are presented, p…
本文讨论了图像融合各层次的融合算法以及红外图像、可见光图像、多谱图像、雷达图像等的融合问题。
This paper surveys pixel, feature, and symbol level image fusion methods and compares the characteristics of different fusion levels. A few image fusion algorithms of each level are presented, p…
本文讨论了图像融合各层次的融合算法以及红外图像、可见光图像、多谱图像、雷达图像等的融合问题。
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