搜索资源列表
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
supervised_classification
- 模式识别中的监督分类程序，通过在遥感影像上选择训练样区，计算混淆矩阵，进行分类。-Pattern recognition supervised classification procedures, through training in remote sensing image, select the sample area, calculate the confusion matrix, classification.
jiandufenlei
- 遥感数据简单的监督分类程序代码，遥感数据简单的监督分类程序代码-Supervised classification of remote sensing data in a simple code
moonandllgc
- 包括2个程序，一个是用于生成2维双月数据的C++程序，不过不是很完整，另一个是局部全局办监督分类算法，可用于测试用户生成的双月数据。-LLGC DOUBLE MOOD DATA
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
shuzituxiangzuoye-
- 对遥感图像进行无监督分类，形成决策树，实现地物的标定-Unsupervised classification of remote sensing images to form a decision tree, the calibration of surface features
polsarpro_lecturecourse
- 雷达极化分类软件使用指导书，可以用于监督分类非监督分类。-Radar Polarimetric classification of software instructions can be used for unsupervised classification of the supervised classification.
ImageClassfy
- 遥感图像的监督分类isodata，课程设计时写的代码-Supervised classification of remote sensing images, curriculum design, write code
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
image-classification
- 图像的监督分类，并给出了数字识别等具体实例-Supervision of the image classification, and gives specific examples such as digital identification
classified
- 基于有监督分类的地物识别的编程实现，实现分类后的地物区别-Based on the supervised classification of feature identification programming implementation
DIPDemo
- 数字图像处理和监督分类基本操作。包括点运算、几何变换、图像增强、频域滤波、彩色图像处理，形态学变换、图像分割、特征提取、识别初步等。- The basic operation of digital image processing and supervised classification. Including point arithmetic, geometric transformation, image enhancement, frequency domain filtering, co
ISODATA
- isodata分类算法,非监督分类,经过多次的循环迭代求解-isodata classification algorithms, unsupervised classification, after the number of loop iterations to solve
ISODATA
- 基于ISODATA的非监督分类，使用MFC-The unsupervised classification based on ISODATA
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
Remote-sensing-classification
- 主要从遥感图像监督分类过程、ERDAS+IMAGINE+应用手册、计算分类以及最后对遥感图像处理中分类的探讨论述各个过程，蛮好的资料。-Mainly from the remote sensing image classification process, ERDAS+IMAGINE+ application manual calculation, classification and the processing of remote sensing image classification d
k_mean
- 在聚类分析中，K-均值聚类算法（k-means algorithm）是无监督分类中的一种基本方法，其也称为C-均值算法，其基本思想是：通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。 -In cluster analysis, K-means clustering algorithm (k-means algorithm) is unsupervised classification is a basic method, which is also known as C
support_vector_machine
- 实现了SVM算法对图像监督分类，用户需要自己设定参数。-Achieve a supervised classification SVM algorithm for image, you need to set their own parameters.