搜索资源列表
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
kmeans--FCM-SOM
- 无监督分类方法，包括kmeans，som和fcm，非常好用-Unsupervised classification methods, including kmeans, som and fcm, very easy to use
EWEW43
- 改进的遗传算法用于极化合成孔径雷达影像非监督分类Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification-Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification
cal_class
- ENVI二次开发分类代码；里面包含了7种分类方法，其中5种是监督分类，2种是非监督分类-ENVI secondary development classification code Contains seven kinds of classification methods, including five is supervised classification, two is a supervised classification
RSImageClassification
- arcengine10.1+vs2010开发的具有监督和非监督分类功能的遥感影像分类系统-arcengine10.1+ vs2010 development of remote sensing image classification system has supervised and unsupervised classification function
kmeans
- 非监督分类的K-MEANS，遥感图像处理中常用。-Unsupervised classification K- MEANS, is commonly used in remote sensing image processing.
supervised-classifation
- 监督非监督分类算法的c++代码。适合写算法人士查阅-supervise classification unsupervise classification
binary_transform
- 监督分类中二次编码分类方法中解决遥感影像二次编码问题-binary encoding
remotesensing-classificaiton
- 实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for
KMean
- C++下利用K均值方法实现遥感影像非监督分类-remote sensing image
Kmean
- 基于改进的kmean的非监督分类，实现全自动的遥感图像分类-Based on Improved kmean unsupervised classification, to achieve automatic remote sensing image classification
ImageSegmeny_Mrf
- 基于改进的马尔可夫、监督分类方法实现的图像分割、效果较好。-Improved Markov-based supervised classification methods to achieve image segmentation, better results.
LDA_Linear-Discriminant-Analysis
- 将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used in statistics, pattern recognit
Polarimetric-SAR-classification
- 极化SAR分类方向的很好的入门PPT资料，对各种相干、非相干分解方法以及监督、非监督分类方法做了简单的阐述-polarimetric SAR decomposition and image classification
ImageOperate
- 比较全面的图像处理功能，尤其是监督分类，分类的效果比较好！-More comprehensive image processing functions, especially supervised classification, classification results were better!
Kohonen
- 自组织网络(Kohonen)特点：1)适用于超大样本的无监督分类；2)其结果常常需要与统计分析一起使用来解释分类结果；3)能够识别新类型，但功能较差。 -1) is suitable for large sample of unsupervised classification 2) the results often need to use with statistical analysis to explain the classification results 3) to ide
CoTrade_BANJIANDUFENLEI
- 这是第四代半监督分类代码，带有数据，设置好路径后即可运行，需要具备一定半监督理论基础的学习者使用-This is the fourth generation semi-supervised classification code, with data, you can run After setting the path, you need to have a certain theoretical basis of semi-supervised learners
classfication
- 监督分类的一部分代码，直接解压就可以在idl中加以使用-idl for classfication
SAMunsuperviesed
- 关于支持向量机的非监督分类方法。利用波段特征度图片进行处理，并最终识别并分类图像中的物品-Unsupervised classification method on support vector machine. The use of the band characteristics of image processing, and ultimately identify and classify objects in the image
UCR-Using-an-AIS-Based-on-MD
- 基于流形距离的人工免疫无监督分类与识别算法 关键词：人工免疫系统, 流形, 无监督分类, 聚类, 模式识别-Unsupervised Classiˉcation and Recognition Using an Artiˉcial Immune System Based on Manifold Distance