High accuracy DEMs is an important data in study of soil erosion and terrain feature space analysis.
高精度数字高程模型(DEM)是水土流失规律研究与流域地形空间分析中重要的空间数据。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
Firstly, based on analysis of arc welding robots structure characteristics, the requirements of working space and the task feature, a 5-freedom pending robot structure is proposed.
首先，分析了弧焊机器人的结构特点，并根据工作空间要求、作业特点，确定了一种5自由度悬挂式构形。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
This thesis studies the feature selection method of HRRP and proposes a RATR method in target subspace based on the analysis of noise-match in HRRP space.
基于对HRRP空间雷达自动目标识别中冗余噪声匹配的分析，研究了高分辨距离像的特征选择方法，提出了一种基于目标子空间的雷达自动目标识别方法。
Aiming at the classic space targets, this paper discusses the reconstruction and feature extraction of HRR profiles by sparse component analysis.
针对典型的空间目标，文章采用稀疏成份分析法研究了一维距离像的超分辨重构和特征提取问题。
The proposed method is composed of the following three parts:(1) The feature space is reduced by the PCA(the principal component analysis) on the normalized input spectra;
该方法包括以下几个步骤：（1）先将训练样本归一化，再利用PCA变换进行降维，获得样本特征向量；
In this paper, cluster analysis was used for the initial classification in the feature space consisting of intensity of a MR image and its textures.
本文采用聚类分析法，由单谱图象的灰度和纹理参数构成特征向量，进行初始分类。
In this paper, cluster analysis was used for the initial classification in the feature space consisting of intensity of a MR image and its textures.
本文采用聚类分析法，由单谱图象的灰度和纹理参数构成特征向量，进行初始分类。
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