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神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods
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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
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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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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
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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
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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
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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
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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
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基于BP神经网络的高分辨率遥感影像分类处理 文档-High-resolution remote sensing image classification based on BP neural network
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基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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基于云模型的高光谱遥感图像的分类研究Cloud model based remote sensing image classification research-Cloud model based remote sensing image classification research
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利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积-The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classif
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主动学习用于遥感图像的最新论文，对应学习主动学习在遥感图像分类有很好的借鉴意义。-Active learning for remote sensing images of the latest papers, correspondence learning active learning in remote sensing image classification have a good reference
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