With this process, we can read the temporality of the building by its texture and communicate the emotion of time through the modern spatial structure.
通过这个过程，我们可以从它的纹理读出建筑的当代性，同样可以通过现代空间结构与时间的情感沟通。
Methods based on spatial frequencies evaluate the coefficients of the autocorrelation function of the texture.
基于空间频率的方法估计纹理的自相关函数。
A video sequence possesses not only spatial properties like images, such as color, edge, texture, but also temporal properties, namely, the motion information.
视频数据除了具有与图像一样的空间特性外(如颜色、边缘和纹理等)，还具有时序特性，即视频中存在运动信息。
The main ways to acquire the spatial state parameters of the texture plane of orientation core are the restoration measure, drawing solution and formula computation for the present.
目前获取定向岩心结构面空间状态参数的方法主要有复位实测法、作图求解法和公式计算法。
In order to extend the spatial describing ability of ICA basis images, wavelet transform was combined with ICA, which make it be able to segment texture images with large textons.
把小波变换和ICA算法相结合，扩展ICA纹理基元的空间尺度描述能力，使其能准确分割有较大纹理结构的纹理图像。
The spatial model of soil AWC in China, based on texture and organic matter, was analyzed.
研究中对基于土壤质地和土壤有机质的我国土壤awc模型进行了空间分析。
The curves that are stable under various distortions are extracted in Graph-cut Theory, which is fully using gray level, texture and spatial information of image.
曲线的提取以图分割理论为基础，结合了图像中灰度、纹理和空间的多种信息，得到在各种畸变下仍然能保持相对稳定的区域边界为待配准曲线。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
There are color, texture, shape and spatial relationship. Among these features, the shape can bring people attractive visual information.
在特征提取中有色彩，纹理，形状和空间关系等特征，而形状特征能给人们带来非常直观的信息。
An adaptive texture recognition algorithm is proposed based on spatial structure.
提出了基于空域结构的纹理识别算法。
We can make good use of texture and spatial information during the classification process.
我们可以结合光谱信息及纹理信息来进行有效的分类。
So object can be described by texture motifs and it will simplify the description of spatial object.
通过精确地描述这些纹理块来对遥感影像中的对象进行描述，可以大大简化对象的识别。
These scales represent the process of successive simplification of an image. This means spatial details such as texture and noise are gradually removed, while major edges are maintained.
这些连续的级代表了图像逐渐简化的过程，即更多的细节例如纹理和噪声被逐渐移除，同时主要边缘得以保留。
As an important indicator of spatial structure information in remote sensed images, texture plays major role in accurate land cover mapping.
将纹理信息融合到原始遥感图像中，对于地物的准确识别和分类具有重要的作用。
As an important indicator of spatial structure information in remote sensed images, texture plays major role in accurate land cover mapping.
将纹理信息融合到原始遥感图像中，对于地物的准确识别和分类具有重要的作用。
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