资源列表
24
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Automatic Aurora Images Classification Algorithm
25
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Hyperspectral Feature Selection and Classification
28
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Radial Basis Function Neural Networks
HiddenMarkovModel
- 这是用matlab开发hmm模型，里面包含全部的有关hmm的程序，都可以使用，对于hmm的初学者来说，是极好的的学习程序。-HMM
a
- 与大家分享一篇用神经网络做遥感图像分类的经典IEEE文献-The Application of Run-Length Features in Remote Sensing Classification
b
- SVM结合模糊方法在遥感图像分类中的应用-SVM combined with fuzzy method in the application of remote sensing image classification
c
- 多维信息在改善沿海地区图像分类精度中的应用方法-Multi-dimensional information to improve the image classification accuracy in coastal areas of application method
d
- 分层神经网络分类算法 关于图像分类的算法原理-Hierarchical Neural Network Classification Algorithm
f
- 基于KOHONEN神经网络聚类方法在遥感分类中的比较-Based on KOHONEN neural network clustering method in a comparison of remote sensing classification
g
- 基于L-M算法的BP神经网络分类器 对图像分类有较好的效果-LM algorithm based on BP neural network classifier for image classification has a good effect
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
i
- 基于概率扩散的多光谱遥感图像分类模型 效果绝对由于传统分类方法-Based on the probability of the spread of multi-spectral remote sensing image classification model of the absolute effect of traditional classification method