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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
IDL-ENVI-Research.rar
- 基于IDL与ENVI二次开发的遥感系统开发方法,写的比较详细,Based on IDL and ENVI secondary development of remote sensing systems development methods, written in a more detailed
KAV
- KAV是利用Visual C++ 6.0编写的一个小程序，能实现对特定数据结果的文本数据进行聚类分析，所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.
MapClassify
- 两种影像分类方法：K均值法和ISODATA法，程序里带了示例数据-Two image classification methods: K means method and the ISODATA method, procedures inner tube of the sample data
kmean
- GIS遥感实习的时候用matlab做的K_均值法聚类-GIS RS KMeans
fusion
- 遥感影像融合精度评价程序 均值、方差、相关系数、熵、清晰度-Remote sensing image fusion accuracy evaluation procedures mean, variance, correlation coefficient, entropy, clarity
K-MeansPP
- K均值算法的实现，其中实现随机获取聚类中心-Realizing the K-means algorithm, which realize stochastic get clustering center
statistic
- 这个程序可以对融合影像进行定量评价。可以得到影像的影像均值,偏差指数,信息熵,平均梯度,相关系数,光谱扭曲程度是。-This program can be fused image quantitative uation. Video images can be mean deviation index, entropy, average gradient, correlation coefficient, spectral distortion degree yes.
compsImg
- 栅格影像补偿处理，采用均值计算方法对空值栅格补偿处理-Image compensation processing