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1)  neighborhood image block sample
近邻图像子块
2)  8-site neighborhood image
八近邻图像
3)  subimage blocks
子图像块
1.
Firstly,we coarsely detect the feature image obtained from subimage blocks,the target regions are identified according to prior knowledge.
该文借助知识理论,提出一种新的基于子图像块的区域分割与边缘检测相结合的目标提取方法。
4)  adjacent pixel
邻近像素
1.
A novel image inpainting algorithm based on adjacent pixels;
一种新的基于邻近像素点的图像修复算法
5)  proximity graph
邻近图
1.
In order to reduce the computational complexity of SVC (Support Vector Clusterin g) on the basis of the proximity graph model developed by Yang et al.
为了降低支持向量聚类 (SupportVectorClustering ,SVC)的运算复杂性 ,基于Yang等提出的邻近图法 ,用Mercer核来表达Hilbert空间中的Euclidean距离 ,以此作为边的权重度量来生成最小生成树 (MinimumSpanningTree ,MST) ,并只对MST的主干进行SVC连接运算 。
2.
Network topology can be represented by the proximity graph defined as a graph with a set of vertices V and a set of edges E such that a directed edge(u,v)belong to E if and only if the point v is in the neighborhood induced by some predefined proximity measures of point u.
网络拓扑结构可由邻近图表述,定义其为一个包含点集V和边集E的图,某有向边(u,v)属于该图当且仅当点v位于点u的邻城内,这个邻域是在某事先定义的邻近测度作用下产生的。
3.
Based on proximity graph,an approximately optimal solution named distributed leader-follower strategy is presented.
首先证明最小化移动传感器网络的目标跟踪能耗是NP完全问题,并基于邻近图理论提出一种近似最优的分布式引导跟随算法。
6)  nearest neighbor graphs
最邻近图
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
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