搜索资源列表
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
e
- 基于K-MEANS与SVM结合的遥感图像全自动分类方法-K-MEANS-based SVM combined with the automatic classification of remote sensing images
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
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
j
- 基于近似域划分的可变离散精度粗逻辑网络及其遥感图像分类应用-Based on approximate discrete domain into the variable precision rough logic networks and their application of remote sensing image classification
o
- 用于遥感图像分类的一种高阶神经网络的改进算法-For remote sensing image classification as a high-order neural networks improved algorithm for
p
- 基于松弛因子改进FASTICA算法的遥感图像分类方法-Relaxation factor based on improved FASTICA remote sensing image classification algorithm
q
- 基于松弛因子的快速独立分量分析算法的遥感图像分类技术-Relaxation factor based on the fast Independent Component Analysis Algorithm for remote sensing image classification techniques
6084694
- 与大家分享一篇用神经网络做遥感图像分类的经典文献 源于核心刊物-To share with you an artificial neural network to do remote sensing image classification of the classic literature from the core of the publication
6084773
- 与大家分享一篇用神经网络做遥感图像分类的经典文献 源于核心刊物-To share with you an artificial neural network to do remote sensing image classification of the classic literature from the core of the publication
57
- 运行应用程序的长度特征遥感分类 拿来和大家一起分享-The Application of Run-Length Features in Remote Sensing Classification
59
- 在分类性能像素窗算法的运行中的应用遥感分类的长度特征-The performance of pixel window algorithms in the classification
60
- 在分类算法研究onThe应用运行长度遥感分类的特点-The Research of Classification Algorithm Based on
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
kl
- 基于bp神经网络的遥感图像的分类和识别的MATLAB实现-Bp neural network-based remote sensing image classification and recognition of the MATLAB implementation
Vsvm3.0
- 基于matlab环境的SVM程序，SVM可用于分析小样本，以做遥感影像的分类处理-Matlab environment based on SVM procedure, SVM can be used to analyze small samples to make remote sensing image classification
aaa
- 关于遥感图像分类方面的程序源代码 有主成分分析，神经网络等方法-Remote sensing image classification on the program source code is the principal component analysis, neural network, the
bpandkohonen
- 神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
fenlei1
- 利用提出的纹理灰度值进行最小距离分类遥感图像-Using the proposed minimum distance of gray value texture classification of remote sensing image