多分辨率特征提取 Multi-resolution Feature extraction
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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.
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