The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征基础上的信息融合。
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征情况下的信息融合。
This dissertation mainly studied the image feature fusion based on PCA (principal component analyses) and its application of Small-weak target matching.
本文对基于主成分分析的特征级图像融合及其在弱小目标匹配识别上的应用做了一定的研究和探索。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文提出了基于子图像特征融合的商标图像检索算法，并对子图像特征融合准则进行了研究。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
该文对商标图像检索中的子图像特征融合准则进行了研究，根据子图像可信度对子图像特征融合准则进行加权改进。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
From researching on the universal principle of feature fusion of image, a new algorithm was proposed which based on the 2 dimension principal component analyses (for short 2dpca).
通过对图像特征融合的一般规律的研究，提出了一种基于二维主成分分析(简称2dpca)的图像特征融合算法。
From the abstract level, image fusion can be divided into: pixels-level fusion, feature-level fusion and decision-level fusion.
图像融合从抽象层次上可分为：像素级融合、特征级融合和决策级融合。
Aiming at ship detection in optical image, this paper proposes a new method for ship detection based on feature fusion of multi-spectral image and PAN image.
该文以可见光图像舰船目标为研究对象，提出了用多谱图像和全色图像进行特征融合来检测舰船目标的方法。
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。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
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。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
The research in this paper is executed mainly at pixie level and feature level image fusion.
图像融合分为三个层次：像素层、特征层和决策层。
As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.
对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。
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。
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。
Experiments show the superiority of local line model based fusion algorithm over traditional methods in enhancing the feature of interest and the quality of the fused image.
实验结果表明，基于局部线模型的融合方法在增强感兴趣的特征和提高图像质最上优于传统算法。
In this paper, a feature product-based image fusion method between multi-spectral image and PAN image is proposed.
提出了一种基于特征量积的遥感图像融合方法。
An image fusion binarization method based on Selforganization Feature Map (SOFM) neural network is presented.
提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
In this paper, we present a multi-feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background.
本文针对复杂背景下的彩色图像，提出了一种包含肤色的多特征信息优化融合的人脸检测算法。
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 feature fusion of image has more and more important applications, such as in target recognition, medical treatment and biology feature recognition.
而图像融合中的特征级融合在目标识别、医疗诊断以及生物特征识别等领域有着越来越重要的作用。
Meanwhile the development of neural networks in the image fusion at pixel, feature and decision levels and other pre-fusion applications are dissertated.
论述神经网络技术在图像数据层、特征层、决策层融合技术及融合前处理中应用的若干新进展；
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
According to the problem in the development of computer Remote Sensing image auto-classification, this paper does more detailed research in the area of feature and decision fusion classification.
本文针对遥感图像计算机自动分类中的问题，主要进行了以下几方面的研究工作。
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。
The key technologies of image Mosaic and image fusion are focused on. During the stage in the image Mosaic, the image matching algorithm based on the feature points has been implemented.
本文按流程详细介绍了全景图生成过程中的各项技术，重点研究了图像拼接技术中的图像拼接及图像融合等关键技术。
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。
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。
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