A new recognition algorithm of small moving target based on multi-feature fusion is presented.
提出一种新的基于多特征融合的弱小运动目标识别方法。
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。
The test result shows the recognition rate by using multi-feature fusion is much higher than that by using single feature.
实验结果表明利用多特征融合方法的识别率明显高于只利用单一特征的识别率。
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。
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。
A novel iris recognition method based on multi-texture feature fusion is presented in the paper.
提出一种基于多纹理特征融合的新颖虹膜识别方法。
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。
The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.
数据级融合模块主要对多传感器的测量信号进行处理，提取出故障诊断的特征信息。
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。
To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.
为了获得更精简的特征序列，去除冗余特征，在特征约减方面，提出了基于多目标遗传算法的虹膜融合特征约减方法；
For data fusion algorithms of multi-sensors, the D-S rule is widely used extensively. But it can not resolve the problem of feature collision ideally.
在多传感器特征信息融合算法中，D - S理论得到了广泛应用，但该理论在处理多特征冲突问题时识别效果不十分理想。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
Study on face, iris and ear multi-biometric feature fusion and recognition belongs to a leading task about human perception nature and rule.
人脸、虹膜与人耳等多生物特征融合与识别的研究属人类认知本质与规律的前沿课题。
In the methodology part, after a comprehensive literature review, we present an algorithm framework of multi-scale feature detection and fusion for different applications.
研究部分，在充分回顾总结前人工作的基础上，本文提出了一种多尺度融合的特征检测算法框架，以适应不同的应用场景。
A new terrain matching neural network algorithm mode is constructed by means of multi-feature fusion, which includes different statistical and geometrical features.
提出了基于神经网络实现多特征融合的地形匹配算法，充分利用地形的各种不同的统计特征和几何特征，构造了一种地形匹配网络模型。
We study the algorithms of feature-level fusion based on the viewpoint of dependence and independence multi-variant data analysis, respectively.
首先从多元数据分析的角度，研究了基于相关性的多元数据分析和基于独立性的多元数据分析的特征融合方法。
A multi-feature fusion approach is proposed to express which region one pixel belongs to, and it is suitable for the uncertainty.
本文提出了一种多特征融合技术，将某一像素所属的区域用隶属度表示出来，很好地适应了这种物体边界的不确定性。
A multi-feature fusion approach is proposed to express which region one pixel belongs to, and it is suitable for the uncertainty.
本文提出了一种多特征融合技术，将某一像素所属的区域用隶属度表示出来，很好地适应了这种物体边界的不确定性。
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