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在基于特征提取方法之上, 研究用算法对目标多视角问题进行分类器设计。在对
图像进行独立成分分析后, 针对多姿态角目标识别问题, 提出了角度优先粗分类的设计方法-Feature extraction method based on above research objective of the algorithm to classify multi-view design problem. In the right image independent component analysis, t
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基于PCA的图像分类的方法,该方法效果好,易理解。-PCA-based image classification method, the method effective, easy to understand.
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This toolBox used in the image processing(feature extraction and classification)
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VC开发的图像分类程序,里面有神经网络的算法,-VC development of image classification procedures, which are neural network algorithms,
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fourier descr iptor for image processing computer vision to describe shape for classification-fourier descr iptor for image processing computer vision to describe shape for classification
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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-A METHOD FOR IMAGE CLASSIFICATION BASED ON KERNEL PCA
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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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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
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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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SAR图像的极化干涉非监督Wishart分类方法和实验研究-Polarimetric Interferometric SAR image classification Unsupervised Wishart and Experimental Research
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