搜索资源列表
PG_BOW_DEMO-master
- 基于BOW模型的图像分类,其中包括K-means聚类等分类算法-BOW model-based image classification
PCANet-master
- PCA-NET的C++代码 一个简单的深度学习网络，用于图像分类,可用于下代神经网络框架-PCA-NET C++ source code
CNMF
- 通过耦合非负矩阵分解，实现高光谱和多光谱图像分类-Coupled Nonnegative Matrix Factorization for HSI and MSI Fusion
2
- 基于区域生长的图像分割方法，在图像分类中很有帮助-Image segmentation based on region growing method, useful in image classification
sparsecoding
- 稀疏编码在图像分类中的实现,自己写的matlab程序，带demo-sparsecoding in image classification
svm
- 基于SVM的图像检索和图像分类算法，源代码程序，希望能帮到你-Image retri and image classification based on SVM algorithm, the source program, the hope can help you
source-code
- 用D-CNN的方法，即CNN卷积层加Fisher Vector做图像分类的MATLAB代码-Use D-CNN approach ( Fisher Vector follows results of CNN convolutional layer as the image feature) to classificate the image
BOW-MATLAB
- BOW主要是对图像的金字塔进行分块描述，进一步生成模型或者判别模型完成图像分类。在图像搜索和筛选中发挥着重要作用-BOW mainly on image pyramids block descr iption, further models or discriminant model generates complete image classification. It plays an important role in image search and screening
PG_BOW_DEMO-master
- 一个用BoW|Pyramid BoW+SVM进行图像分类的Matlab Demo-A use BoW | Pyramid BoW+ SVM for image classification Matlab Demo
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!
Classification_Neural_NET1
- 用于遥感图像分类的自动分类，简单实惠，快速准确！-For the automatic classification of remote sensing image classification, the simple, fast and accurate!
Classification_SVM1
- 用于遥感图像分类的自动分类，帮你快速解决图像分类问题！-For the automatic classification of remote sensing image classification, to help you quickly solve the problem of image classification!
Gray-level-co-occurrence-matrix
- 基于灰度共生矩阵的纹理图像分类研究相关论文-Research on texture image classification based on gray level co-occurrence matrix
SparseBayes
- 利用稀疏贝叶斯实现的图像分类，实现效果很好，matlab代码-Sparse Bayesian image classification implemented to achieve good results, matlab codes
histDist
- 包括彩色图像直方图计算和灰度图像直方图计算，可以作为场景图像分类的一种方法-Including color and grayscale images to calculate an image histogram histogram calculation can be used as a method of image classification scene
Kmean
- 在matlab下的k-均值聚类进行图像分类分割处理-In matlab under the k-means clustering for image classification be dealt with separately
DAP_OSR
- 代码主要实现了零样本图像分类中的直接属性预测模型。在没有训练样本的情况下对其进行分类。-Code mainly realize the zero sample image classification of direct property prediction models. In case of the absence of training samples to classify them.
k-means-algorithm
- 基于k-means算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on k-means algorithm Source code Algorithm testing
knn-algorithm
- 基于knn算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on knn algorithm Source code Algorithm testing