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
Confusion_Matrix
- 影像分类精度评价算法——混淆矩阵，评价漏分和错分情况
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。
KMeans-with-opencv k均值分类在遥感影像中的应用
- k均值分类在遥感影像中的应用，完整的c++代码，注释详细易懂，并且已经验证过-k-means classification in remote sensing images in the application, complete c++ code, comments, detailed and easy to understand, and have been verified
Lidar.rar
- Lidar点云数据处理软件，深度影像分类以及边缘检测,Lidar
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, confusion matrix).
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
20081104ga_src
- 遗传算法(GA)和神经网络(network)结合的算法，用于图像分类，包含完整的工程-Genetic Algorithm (GA) and neural network (network) combining algorithm, for image classification, including the complete works
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
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.
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
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)
IDL for k_means
- 自己用IDL编写的k-means影像分类程序，已调试，可以直接使用。(Using IDL to write K-means image classification program, has been debugged, can be used directly.)
ERDAS界面认识基本功能、图像增强、监督分类非监督分类方法
- ERDAS软件实现遥感影像的监督分类和非监督分类方法说明及指导
多光谱影像PCA与遍历显示matlab实现
- 基于多光谱影像的地物分类预处理算法，使用matlab将数据tif影像打开，并展示，在数据波段中，使用PCA算法，使得信息集中利于分类。(Preprocessing algorithm of object classification based on multi spectral image)