此外，分解过程可能需要大量的磁盘空间，这取决于您的源分辨率。
In addition, the disassembly process can require vast amounts of disk space, depending on your source resolution.
接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation.
尝试将目标分解算法用于高分辨率极化目标的识别。
This paper applies target decomposition theory to high resolution polarization target classification.
谱分解技术使常规地震资料达到理论分辨率。
Spectral decomposition technology makes the theoretical resolution of the common seismic data achieved.
可变块分割的方法是采用基于多分辨率四叉树分解的运动分割。
The variable block segmentation is based on a multi-resolution quadtree-based motion segmentation.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
本文采用从地震记录道信号中逐次分离出具有不同分辨率背景的方法，实现在时间域内对地震记录道信号的分解。
Decomposition of seismic signals in time domain can be achieved by sequentially separating out the seismic components that show different resolutions.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
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.
离散子波变换将离散时间信号分解为一系列分辨率下的离散逼近和离散细节。紧支的正交规范子波与完全重建正交镜象滤波器组相对应。
The discrete wavelet transform decomposes a discrete time signal into an approximation sequence and a detail sequence at each level of resolution.
首先，通过拉普拉斯金字塔变换将源图像分解为各级分辨率的子图像。
Firstly, the source images are decomposed into sub-images at different scales through Laplacian pyramid transform.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
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.
本算法利用小波变换的多分辨率特性来进行图象的小波域分解，这样可以获得更好的图象保真度并且比在空域中的水印嵌入算法更稳健。
The multiresolution structure of wavelet is used to construct the image frequency components., which has better image fidelity preservation and robustness than spatial domain based techniques.
而小波变换多分辨率分解的优良特性，既能大幅度的压缩图像数据，又能很好的保留图像的绝大部分的信息。
The wavelet has the good multi-resolution decomposition features, which both have a significant compression of image data, but also retain most of the information of an 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.
为提高中分辨率遥感影像在城市研究中的应用，必须解决混合像元分解的问题。
To improve the accuracy of Medium-Resolution image in urban studies, we must solve the problem of decomposition for the mixed pixel.
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.
ROAM算法就是通过采用分解和合并方法实时地调整三角形网格，能交互式地实现观察依赖、局部可调整的地形网格化处理，生成多分辨率的地形模型。
ROAM method adopts split and merge operations to adjust triangle meshes, can interactively perform view-dependent, locally-adaptive terrain meshing and can construct multiresolution terrain model.
从而证明了NSCT在遥感图像融合领域是一种有效的多分辨率分解策略，可以被成功的应用到遥感图像融合应用中。
This also proves that NSCT is an effective strategy in the field of remotely sensed images fusion, and it can be successfully used in the application of remotely sensed images fusion.
方法先对图像进行小波分解，从最低分辨率的近似图像开始，采用光流场的方法进行逐级配准，再对配准的各分量进行重构，直至得到最高分辨率的配准图像。
In this method, from the lowest resolution, the approximate images are registered by optical flow field, and then reconstruct the image, up to the highest resolution.
方法先对图像进行小波分解，从最低分辨率的近似图像开始，采用光流场的方法进行逐级配准，再对配准的各分量进行重构，直至得到最高分辨率的配准图像。
In this method, from the lowest resolution, the approximate images are registered by optical flow field, and then reconstruct the image, up to the highest resolution.
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