搜索资源列表
clustering
- clustering分类算法，模式识别中的，可用于遥感影像分类识别
支持向量机的分类
- 基于IDL编写的用于遥感影像的分类，采用的分类方法为支持向量机。
ClusterImageSeg
- 一个利用各种聚类算法实现遥感影像分割的程序，包括K均值、ISODATA、模糊C均值等！-use of a clustering algorithm remote sensing image segmentation procedures, including K-means, ISODATA, Fuzzy C- Means, and so on!
Land_cover_classification
- 一个基于人工神经网络的有监督遥感影像地貌分类程序。-an artificial neural network-based supervision of remote sensing images landscape classification procedure.
yun7.1
- 重要的纹理分割分类基础程序，可以进行更深入的探讨和优化，应用于遥感影像中。-Important basis for classification of texture segmentation procedure can be carried out more in-depth exploration and optimization, application of remote sensing images.
Land_cover_classification
- 一个基于人工神经网络的有监督遥感影像地貌分类程序-One based on artificial neural network has the supervision of remote sensing image classification procedures geomorphic
clustering
- clustering分类算法，模式识别中的，可用于遥感影像分类识别-clustering classification algorithm, pattern recognition, can be used for remote sensing image classification and recognition
Bayesian_Classification
- 针对遥感影像的光谱信息进行分类，并评价分类精度。但需要人为调整数组的大小，来控制输入变量，将训练样本和检验样本存为.txt格式的文件，执行即可得到分类后属于各个类别的概率，以及混淆矩阵。-Spectral imaging for remote sensing information classification, and to evaluate the classification accuracy. However, the need
otsu1
- 运用数学形态学原理 分割之后的特征提取 遥感影像分类中的应用-morpholog
Image_Classify
- 遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusi
l
- 投影寻踪学习网络的遥感影像分类 与传统神经网络相比优势明显-Projection Pursuit Learning Network for Remote Sensing Image Classification with the traditional neural networks have obvious advantages compared with
kjunzhifenlei
- K均值进行影像分类，遥感影像分类的方法有很多，如神经网络分类，C均值分类等，K均值分类是其中的一种。-Image Classification
ConfusionMatrix
- 遥感影像分类后精度评价C++程序，主要是通过混淆矩阵，包括生成者精度，用户精度。-Remote sensing image classification accuracy assessment after C++ program, mainly through the confusion matrix, including generators accuracy, user accuracy.
Vsvm3.0
- 基于matlab环境的SVM程序，SVM可用于分析小样本，以做遥感影像的分类处理-Matlab environment based on SVM procedure, SVM can be used to analyze small samples to make remote sensing image classification
DotNET2008BasedSVM
- 支持向量机用于遥感影像分类，是一种高效、高精度的人工智能分类算法-SVM is a powerful classification algorithm
rmrs
- 最新的关于遥感影像分类的外文文献，对遥感领域的人有帮助-remote sensing
程序
- 实现了对遥感影像的监督分类，并对分类后影像进行精度评价(Supervised classification and accuracy evaluation of images)
非监督分类
- 遥感影像非监督分类各种模型的Matlab源代码。(Remote sensing image unsupervised classification of various models of Matlab source code.)
SVM算法matlab程序
- SVM(Support Vector Machine) 支持向量机算法，遥感影像分类，matlab(SVM (Support Vector Machine) support vector machine algorithm, remote sensing image classification, matlab)
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)