资源列表
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
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
k
- 人工神经网络及其在盐田水体遥感图像分类中的研究-Artificial Neural Network and Its Application in salt water in the study of remote sensing image classification
l
- 投影寻踪学习网络的遥感影像分类 与传统神经网络相比优势明显-Projection Pursuit Learning Network for Remote Sensing Image Classification with the traditional neural networks have obvious advantages compared with
m
- 一种适用于模式分类的模糊粗隶属函数神经网络-One for pattern classification of fuzzy-rough membership function neural network
n
- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process