.png){kind=icon}
返回
Clustering multispectral images: a tutorial
.png){kind=icon}
PRE
AI
DOI：10.1016/j.chemolab.2004.07.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A huge number of clustering methods have been applied to many different kinds of data set including multivariate images, such as magnetic resonance images (MRI) and remote sensing images. However, not many methods include spatial information of the image data. In this tutorial, the major types of clustering techniques are summarized. Particular attention will be devoted to the extension of clustering techniques to take into account both spectral and spatial information of the multivariate image data. General guidelines for the optimal use of these algorithms are given. The application of pre- and post-processing methods is also discussed. (c) 2004 Elsevier B.V All rights reserved.
Keyword:
pattern recognition
unsupervised classification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
4.6K
被引数:
1.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
Simulations of Re-Entry Vehicles by Using DSMC with Chemical-Reaction Module利用带有化学反应模块的直接蒙特卡罗模拟方法对再入飞行器进行模拟
OAAI
OAAI分享收藏分享收藏
查看更多内容