The probabilistic data association algorithm is applied in the spatial domain multi resolution frame and target tracking is implemented at the coarse resolution level.
这个算法在空间多分辨率框架下应用概率数据互联算法，在粗分辨率上实现模糊目标跟踪。
For the problem of large amount of GIS map data, the algorithm of data compression by multi-resolution analysis and border processing is presented.
针对地理信息系统地图数据量大的问题，提出了多分辨分析数据压缩和边界处理方法。
It is difficult to use seismic data to identify and detect the fractures system in dense reservoir because of multi-scale of fracture and limitation of resolution of seismic data.
但由于裂缝的多尺度性和地震资料分辨率的有限性，使得利用地震资料识别和检测致密储层裂缝系统变得很困难。
Based on the unified data modeling, this resolution realizes the uniform request service to distributed heterogeneous spatial data by metadata and multi-database system.
该解决方案通过建立统一的数据模型，使用元数据与多数据库系统实现了对分布的异构的空间数据的统一访问请求服务。
The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.
利用小波变换所具有的良好的时频分析特性，实现了输入输出之间映射关系的多分辨学习。
In order to attain the goal of using multi scale frequency divided data for interpretation, the paper applied the wavelet multi resolution analysis to detect the coherent data volume.
为了达到多尺度分频解释的目的，本文将小波多分辨率分析应用到相干体提取过程中。
This paper presents a dynamic construction algorithm for the multi-resolution terrain model based on the large scale GRID data or discrete elevation data.
论述了一种基于大规模格网数据或离散高程点动态构建多分辨率地形模型的算法。
But due to the inherent characteristics of the multi data source, multi type, multi temporal and multi resolution, one data mining system to excavate all types of weather data is unrealistic.
但由于气象数据的多数据源、多类型、多时相、多分辨率等固有的特点，指望一个数据挖掘系统挖掘所有类型的气象数据是不现实的。
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.
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 method of constructing and progressively transmitting 3D terrain texture data based on multi-resolution progressive layers is put forward for the first time.
首次提出了基于多分辨率渐进层提取的三维地形模型纹理数据建立和渐进传输的方法。
The good localization characteristics of wavelet functions in both time and frequency space allow hierarchical multi-resolution learning of input-output data mapping.
由于小波变换在时间和频率空间具有良好的定位特性，使小波神经网络可对输入、输出数据进行多分辨的学习训练。
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.
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。
Currently, traditional spatial data model with the inherent limitations can not fully satisfy the scope of the global multi-resolution massive data dynamic management requirements.
当前，传统空间数据组织与模型的内在局限性已经不能完全满足大范围甚至全球多分辨率海量数据动态管理的要求。
Using the multi-resolution analysis as pretreatment method association with the correlation analysis can improve the effect of data analysis.
把多尺度分析作为数据预处理方法和相关分析技术联合使用，提高了数据分析和处理的效果。
Through multi index, fast management and display, on-line browsing, local up-scaling and down-scaling, multi-resolution display of image data can be realized.
通过多级索引指针，可以实现影像数据的快速调度与显示，实时漫游、局部放大和缩小、多分辨显示等操作。
Using the principle of multi-resolution analysis, we decompose a set of original spectral data into the blurring signal part and the sharpening signal part.
利用子波变换的多尺度分析原理，将原始光谱数据分解成集中源信号绝大部分能量的模糊信号和反映源信号变化特性的锐化信号。
The simplified algorithm of view-point related multi-resolution terrain and the extended algorithm while its data are distributed like a band;
基于几何模型的视点相关多分辨率地形简化算法及其在数据呈带状分布情况下的扩展算法；
The simplified algorithm of view-point related multi-resolution terrain and the extended algorithm while its data are distributed like a band;
基于几何模型的视点相关多分辨率地形简化算法及其在数据呈带状分布情况下的扩展算法；
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