搜索资源列表
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
clasification
- 该程序用于将遥感图像上的地物按照不同的类别划分出来，并用不同的颜色标识，采用的方法为非监督分类-procedures for the use of remote sensing images of the object under different categories such. and the use of different colors, logos, and the methods used for non-supervised classification
STICA
- 图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域
fuzzy_c_means.rar
- 本程序用c编写，主要用于对遥感图像进行聚类（非监督分类）。,This programme is used to for clustering images (unsupervised classifciation)
Kernel-K_means
- 用IDL与ENVI二次开发进行非监督分类的Kernel K_means算法，强大实用-Use IDL and ENVI for the secondary development of Kernel K_means unsupervised classification algorithm, a powerful and practical
unsupervisepart
- 提供遥感图像的非监督分类，专业性比较强，可以提供给GIS RS GPS等地理专业的同志参看-Provide remote sensing image supervised classification of non-professional are relatively strong, could be made available to the GIS RS GPS and other geo-professional comrades see
K_means
- 此软件的功能是对遥感图像进行非监督分类。实现算法是k均值-This software is a remote sensing image for non-supervised classification. K-means algorithm implementation are
ISODATA
- 非监督分类算法源码，目前最通用的聚类算法-Non-supervised classification algorithm source code
EISODATA
- 迭代自组织分类，用于对图像进行非监督分类-ISODATA classification for non-supervised classification of image
Expectation-maximization
- 用IDL与ENVI 进行非监督分类的maximation算法，简单实用，功能强大-Use IDL and ENVI maximation non-supervised classification algorithms, simple, practical, powerful
Kjunzhi
- K均值算法是遥感图像非监督分类里的重要算法-K-means algorithm is the unsupervised classification of remote sensing images in the important algorithm
K_Means
- 利用K均值聚类实现非监督分类的功能，可以将大部分常用格式图像进行分类，程序功能强大。-K-means clustering function of unsupervised classification, can be the most common format for image classification, and powerful program.
K-Mean
- 实现对图像的K均值法非监督分类,并能自动进行类别提取-the K-means Classification method for images
image-clustering
- 图像的非监督分类，主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
Kjunzhi
- 为非监督分类的一种——K均值算法，这里设定的适用于灰度图像，分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
2008302590209
- 该程序可以实现基于K均值算法对彩色遥感图像(如SPOT)进行非监督分类 可以输入分类类别数,程序自动生成分类后的遥感专题图-The program can be achieved based on the K-means algorithm unsupervised classification of color remote sensing image (SPOT), you can enter the number of the categories, the program autom
classification
- 各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类-Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering
K均值算法 - 非监督分类
- k-means 监督分类，希望对初学者有帮助。(K-means supervised classification, and I hope to help beginners.)
RSImageClassification
- VS2010，基于DIL8.2用多种分类方法实现遥感影像的监督分类和非监督分类(VS2010, a supervised classification and unsupervised classification of remote sensing images based on a variety of classification methods based on DIL8.2)
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习，用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)