1) NPA
最近点算法
1.
According to the SVM computation theory and the features of hyperspectral remote sensing(RS) image data,the optimal hyperplane between two classes is computed by the nearest points algorithm(NPA).
根据支持向量机(SVM)的计算理论,结合高光谱影像的数据特点,利用最近点算法(NPA)求两类最优超平面,为每类设立一个合理的权指标,提出了基于NPA的加权"1 V m"SVM算法来实现高光谱遥感影像多分类,降低了计算的复杂度和计算量,提高了SVM高光谱遥感影像分类的可操作性和分类效率。
2) equally dividing the nearest point algorithm
平分最近点算法
3) ICP algorithm
迭代最近点算法
1.
In this paper, the reliability of the algorithm of terrain matching based on ICP algorithm was analyzed.
根据迭代最近点算法的原理,从几何直观的角度研究了地形辅助导航系统匹配的可靠性,推导了旋转和平移的可靠性公式,并进行了数字仿真,结果表明,本文推导的可靠性结论是正确的。
2.
As the traditional ICP algorithm is liable to get local minimization problem and have a bad performance of real-time,a BP neural network was presented in the ICP algorithm.
鉴于传统的迭代最近点算法存在着易陷入局部最优的缺陷和实时性不好的问题,提出了一种将BP神经网络引入迭代最近点算法中进行地形匹配的新方法。
4) improved ICP algorithm
改进最近点迭代算法
5) iterative contour closed point
等值线最近点迭代算法
1.
The iterative contour closed point(ICCP) matching arithmetic in geomagnetic navigation system is based on the contours to realize the matching location,so detecting contour is indispensable to implement geomagnetic navigation.
地磁导航系统采用等值线最近点迭代算法达到最终匹配定位的目的,等值线最近点迭代算法是在等值线的基础上实现的,因此,等值线的提取是实现地磁导航的"必经之路"。
6) iterative closest point algorithm
最近点迭代(ICP)算法
1.
An improved 3-D shape context is developed to establish corresponding point pairs between current measurement data and previous ones,then the candidate overlapping measurement data are selected,and verified and accurately registered by iterative closest point algorithm.
利用改进的3-Dshape context描述符建立当前测量数据与已获得数据间的匹配点对,得到候选的重叠数据,并用最近点迭代(ICP)算法进行验证和精确配准。
补充资料：最近
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