搜索资源列表
GaborFilter
- 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
shiyan1
- 遥感图像分类描述，有代码，也有图像，用Matlab实现-Remote sensing image classification descr iption, code, there are images, achieved with the Matlab
gabor
- 本程序是下载下来的图像分类，本来用不了，现在我自己修改了一些，可以用了，应付本科生毕业的图像分类足够了！-This program is downloaded image classification, originally impossible, now I own a number of changes can be used to meet the Graduation image classification is enough
Classification-OfTheRemoteImage
- 基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image text
OpenCV-IMLEMENT-SVM
- OPENCV实现SVM,很好的实现了图像分类，供大家参考-USE openCV to implement the SVM
KB-Detector-src
- 功能说明：输入一幅图像，能对此图像检测关键点，这些点通常对应图像中的重要对象，可用于对象识别，也可用来作为特征进行图像分类。运行其中的例程Ldx_GoSalScale.m，就可以知道此程序的用法（调试环境matlab7.0）。-Function: input image, this image can detect critical points, these points usually correspond to an import
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统，我们在VC中做了一个基于聚类的图像分类方法，可以选择不同的图像特征，还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different ima
373063classification
- 几篇高质量的国外有关遥感图像分类的论文，代表了最近最前沿的分类技术，很值得看看，-Several high-quality foreign papers on remote sensing image classification, it is worth a look
bayesfenlei
- 自己变得额matlab 贝叶斯分类程序 实现图像分类 遥感图像分了-bayes classification for remote sensing image
03
- 类的目的就是根据现有的图像特征建立一个分类器，能够对未知的图像类型进行预测。在现有众多分类 算法中，贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息，成为"-3前机器学习和数据挖 掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器，叙述了 利用贝叶斯分类器进行图像分类的方法，以及图像特征的分布假定。最后通过对分类器的探讨，总结了贝叶斯估计 分类的不足。-The
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
3
- 基于底层特征和SVM的图像分类image classification based on the underlying characteristics and the SVM(image classification based on the underlying characteristics and the SVM)
遥感图像自动分类参考论文
- 内有利用机器学习模型去对遥感图像自动分类的研究论文；(There is a research report on automatic classification of remote sensing images using machine learning model;)
finetune_alexnet_with_tensorflow-master
- 用以图像分类，可以设计自己的数据集训练模型(For image classification, you can design your own data set training model)
claasifyKmeans
- 利用Kmeans对高光谱图像分类,很好的程序(hyperspectral image classification using kmeans method)
SVM
- 使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
SVM论文1
- SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
基于支持向量机的几种核函数遥感图像分类比较
- 该文献详细介绍了支持向量机SVM在遥感图像中的应用，尤其是在小目标的提取上居然不可替代的作用(In this literature, the application of support vector machine SVM in remote sensing images is introduced in detail, especially the irreplaceable role in the extraction of sm
HOG_LBP
- 融合hog与lbp特征的图像分类，使用svm进行分类，最终给出运行混淆矩阵(The image classification of hog and LBP features is classified by SVM, and the run obfuscation matrix is finally given.)