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。
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.
提出了一种基于特征空间划分的多分辨率分类器求解策略。
We propose a multi-resolution classification strategy based on the partition of feature space.
小波分解对信号做多分辨率分解，可以突出信号的特征信息，便于QRS波群检测。
The wavelet transform does multi-resolution analysis on the signal which clarifies the electrocardiogram (ECG) signal characteristics to more easily detect the QRS complex.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标。
The wavelet package signal component energy eigenvector was used as the damage index property of structural damage recognition according to the multiresolution trait of wavelet package.
利用拉普拉斯金字塔分解算法对图像进行多分辨率分析，对分解后的图像采用基于区域特征量测的方法进行融合。
This paper adopts a Laplacian Pyramidal decomposition method to analyze two images, And the decomposed images are fused with the method based on regional features measurement.
另外，从多分辨率表示提取的特征能够提供一种完成局部对比增强的自适应算法机制。
In addition, We demonstrate that features extracted from multiresolution representations can provide an adaptive mechanism for accomplishing local contrast enhancement.
本文提出一种新的多分辨率纹理分类方法，该方法采用称为小波帧的冗余小波分解，从而获得具有稳定性和平移不变性的特征描述。
The method adopts redundant wavelet, which is called wavelet frame, to decompose and then to achieve the characteristic description of stability and translational constancy.
针对附有纹理属性的网格模型，提出并实现了一种保持模型基本外观和形状特征的多分辨率网格简化算法。
This paper aims to simplify 3D models with texture attributes. An appearance-preserving multi-resolution simplification algorithm based on half-edge collapse operation is proposed.
在图像的多分辨率小波分析的基础上 ，采用高斯 -马尔可夫随机场模型来描述图像的局部特征 。
The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
首先基于小波多分辨率分析方法将负荷序列分解成具有不同频率特征的序列。
Firstly, based on wavelet multi-resolution analysis method, the load serials are decomposed to different sub-serials which show the different frequency characteristics of the load.
利用小波多分辨率分析方法对去噪后的扰动信号进行检测，更精确地提取出了暂态电压扰动信号的特征值。
Wavelet multi-resolution analysis method was used to detect de-noising disturbance signal, character values of the transient voltage disturbance signal were extracted more precisely.
该算法以具有多分辨率特性的小波包为基础，结合结构法的纹理元分析方式，采用区域质心完成局部特征提取，最后使用投影法进行整体的特征提取。
The texture feature was obtained by statistically projecting the local centroid which was referred from the structural texture analysis methods based on the wavelet package transform.
顾及地形特征线的散点域(约束数据域)三角剖分是建立高精度数字地面模型的基础，在GIS、地学分析、计算几何、多分辨率DTM等领域中有着广泛的应用。
The triangulation of constrained data set is widely used in Geographic Information System (GIS), geo-science, computational geometry, multi-resolution and high precision DTM, et al.
给出了一种有效支持个性化变形的三维人脸模型结构和一种特征约束的实时连续多分辨率绘制方法。
Presentes a 3d human facial model structure for supporting the individual distortion and a real-time continuous multiresolution rendering method with feature-constraint.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标，并在实验中得到了良好的识别效果。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed. Based on...
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标，并在实验中得到了良好的识别效果。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed. Based on...
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