搜索资源列表
bp
- 利用MATLAB对遥感图片进行BP神经网络分类-Remote sensing image using MATLAB BP neural network classifier
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.
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
LDA
- 模式识别LDA算法代码,基于LDA降维的遥感图像分类，使得降维后的数据具有最好的类别可分性。-LDA pattern recognition algorithm code
DR_LDA
- 基于LDA降维的遥感图像分类，LDA算法函数程序，可与各种分类算法结合，提高图像分类的速率-remote sensing image cut down dimension algorithm based on LDA.
2-separability-based-feature-s
- 2快速separability-based特征选择方法highdimensional遥感图像分类模式识别_guo_pattrec 41(8)1670 - 1670 1670 -2 A fast separability-based feature selection method for highdimensional remotely-sensed image classification Pattern Recognition 41 (8) 1670-1679 2008
8Band-selection-for-hyperspectra
- 8乐队选择高光谱图像分类使用互信息IEEE 2006 _guo_grs地球科学和遥感信-8 Band selection for hyperspectral image classification using mutual information IEEE Geoscience and Remote Sensing Letters 2006_guo_grs
guangpusvm
- 一个提取遥感影像光谱特征的程序，易于理解，分类精度高-An extraction of remote sensing image spectral characteristics of the program, easy to understand, high classification accuracy
knnclassifytoimg
- 对于遥感影像的K近邻分类器，并且将分类结果彩色显示出来，效果不错。-Knn classifier show the result
Bayes
- 武汉大学 遥感信息工程学院 2014-2015 第一学期 模式识别 第一次作业 贝叶斯分类 学霸代码-Remote Sensing Information Engineering, Wuhan University 2014-2015 first semester pattern recognition first job Bayesian taxonomy Pa code
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
CityRS
- 城市遥感编程作业，包括地物分类、影像拼接、变化检测、地物提取等功能，代码结构较好，便于学习，附实习报告书，其中包括算法思想和原理。-Urban remote sensing program operations, including feature classification, image stitching, change detection, feature extraction capabilities, better code structure, easy to learn, wit
KMean
- K均值分类程序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
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
NBC
- 迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
k-means
- 利用k-means方法对图像进行分类（matlab程序和c++程序），如对遥感图像分辨出河流、树木等，需要自己定义所处理图片位置，还有将分类的图片进行彩色区分-The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the
Classificatin
- 遥感影像分类，K均值和ISODATA算法实现，分类效果较好-Remote sensing image classification, K-means algorithm and ISODATA classification is better
Classification_KM
- 用于遥感图像分类的自动分类，方便快速，疗效快，你值得拥有！-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect, worthy of you!
Classification_MLC
- 用于遥感图像分类的自动分类，方便快速，疗效快！-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect!