Description: SOFM神经网络的 c++源程序 可用于遥感图像分类-SOFM neural network c++ Source can be used for remote sensing image classification Platform: |
Size: 28672 |
Author:deepu |
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Description: 为进一步进行纹理特征分析，从纹理的方向性人手，给出了纹理方向的数学定义式，合理选择差异函数，
构造了具有物理意义的纹理方向描述特征向量．数据处理方面，运用模糊贴近度的概念，结合改进后的属性均值聚
类算法，对一类具有方向性的纹理图象进行分类与分割实验，取得了较好的结果．试验表明，该方法对纹理的方向
性有很好的描述能力．
关键词 图象分割 纹理方向 纹理分割 神经网络 模糊聚类
-Texture features for further analysis, staff from the texture direction, given the direction of the mathematical definition of texture type, a reasonable choice of the difference function, structure with a physical meaning to describe the direction of the texture feature vector. Data processing, the use of the concept of fuzzy nearness degree, combined with improved properties means clustering algorithm for a class of directional texture image classification and segmentation experiments, achieved good results. Tests show that the method of directional texture has a good description of the capacity. Keywords Image segmentation, texture segmentation texture direction fuzzy clustering neural network Platform: |
Size: 291840 |
Author:wgn |
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Description: 遗传算法(GA)和神经网络(network)结合的算法，用于图像分类，包含完整的工程-Genetic Algorithm (GA) and neural network (network) combining algorithm, for image classification, including the complete works Platform: |
Size: 25600 |
Author:haoyubao |
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Description: 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, classification features calculated for each share of area Platform: |
Size: 3072 |
Author:sun |
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Description: 用于图像识别的新型神经元网络
提出了一种用于图像识别的映封正交神经元网络。
在一般情况下待识别的样本空间的维数相当大,
为了有效地进行识别,必须把样本空间的维数降下来。目前常用的方法就是特征提取法,本文采用映射正交过程把样本空间映射成正交分类空间,并在此基础上,采用网络进行图像分类。计算机上模拟结果表明此网络县有时缺损和噪声图像进行正确识别的能力-Image recognition for a new type of neural network used in a video image recognition of the orthogonal neural network closure. In general, the sample space to be recognition of the considerable dimensions, in order to effectively identify, must be the dimension of sample space down. Commonly used method at present is the feature extraction method, this paper, the process of mapping the sample space orthogonal mapping classification into orthogonal space, and on this basis, the use of network image classification. Computer simulation results show that the county and sometimes the network image defects and noise of the ability to correctly identify Platform: |
Size: 441344 |
Author:wang kun |
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Description: 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 Platform: |
Size: 182272 |
Author:sds |
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Description: 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 net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate Platform: |
Size: 25600 |
Author:cissy |
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Description: 基于多维度的粒子群优化算法的进化人工神经网络，可用于进行图像分类。-
Based on multi-dimensional particle swarm optimization evolutionary artificial neural networks can be used for image classification. Platform: |
Size: 3026944 |
Author:棉花糖 |
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Description: BP 神经网络用于图像的分类，仿真语言为matlab.-BP neural network for image classification, and simulation language is matlab. Platform: |
Size: 163840 |
Author:李丽 |
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Description: 用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners! Platform: |
Size: 14900224 |
Author:zhangshixia |
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Description: 采用神经网络进行图像分类，分类方法简单，但是效果略差。(Using neural network for image classification, the classification method is simple, but the effect is slightly poor.) Platform: |
Size: 683008 |
Author:tttt121gg |
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Search - neural for image classification