资源列表
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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