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影像纹理的英文

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"影像纹理"怎么读用"影像纹理"造句

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  • image texture

例句与用法

  • Texture recognition method based on bayesian linear programming
    线性规划的影像纹理识别方法
  • Texture classification of aerial images based on support vector machines
    基于支持向量机的航空影像纹理分类研究
  • Texture segmentation of multispectral remote sensing image based on markov random field
    基于马尔柯夫随机场的多波段遥感影像纹理分割研究
  • Visualization of terrain information is playing a key role in many applications such as flight simulation , 3d geographic information system , etc . however , with the rapid development of the remote sense and satellite technology , people expect to investigate or view larger terrain regions with finer precision , which inevitably leads to the real time visualization of huge terrain dataset
    地形信息的可视化在实时仿真和地理信息可视化系统中占有十分重要的地位。然而随着遥感技术,卫星技术的发展,使得获取高分辨率的数字几何高程数据以及影像纹理数据成为可能,人们希望观察更广范围的地形,对地形的实时绘制提出了更高的要求。
  • On the basis of the analysis of the methods for single band image texture , this paper presents the concept of multispectral texture applying the relativity analysis of local area and the variant characteristics of multi - dimensional coding to represent the texture characteristics of the different objects
    摘要在基于单波段影像纹理分析方法的基础上,提出了多光谱纹理的概念,将局部区域的相关性分析和多维光谱变化特性采用二进制编码的形式来表征不同类型地物纹理特征,达到了区分和判别影像上不同纹理的目的。
  • In our framework , the multi - resolution models for terrain texture data and geometry data are matched with each other to achieve the goal of real time rendering . in chapter 1 , we introduce some backgrounds and application domains of the real - time terrain rendering . meanwhile , we summarize some typical methods in recent publications , and enumerate and discuss the research works about terrain rendering in recent years
    另外,随着遥感技术,卫星技术的发展,使得获得高分辨率的数字几何高程数据以及影像纹理数据成为可能,人们希望观察更广范围更为精细的地形,在许多应用中,地形数据集太大而无法全部容于内存之中,可以称之为海量( outofcore ) ,这就对地形的实时绘制提出了更高的要求。
  • The results show that the maximum likelihood classification based on variogram texture and spectral bands can perfectly define the grades of beach sandy land and inner desertification , and the maximal classification precision comes up to 92 . 4 % , which proves that geostatistical texture is effective in the application of desertification monitoring
    结果表明,运用变异函数纹理结合光谱波段的最大似然分类方法能够很好地界定海滩沙地和内陆荒漠地的等级,最高分类精度达到92 . 4 % ,证明了基于地质统计学的影像纹理在实现该地区遥感荒漠化监测方面的有效性。
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