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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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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 im
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这是一幅SAR 图像,bmp格式的.可以用来去除噪声和SAR 分类.-This is a SAR image, with bmp format. which can be used to remove noise and SAR classification.
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matlab图像分类分割编程
利用matlab 的fuzzy分类为图像分类编写的matlab程序-image classification segmentation matlab programming
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一种基于形态学的图像增强方法。基于模糊逻辑将二值形态学分级算子推广到灰度图象,研究灰度形态学分级算子。-Morphology-based methods of image enhancement. Will be based on the fuzzy logic classification binary morphological operator to the gray-scale images, gray-scale morphological study operator classif
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基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
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基于小波变换和K-Mean算法的崇明东滩遥感图像分类,读取样本的能量特征向量进行分类,并返回分类图像的RGB图,显示各类地物面积比例-Based on wavelet transform and the K-Mean Algorithm for remote sensing image classification Chongming Dongtan, the energy to read a sample feature vectors for classification, and retu
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模糊c均值聚类算法对遥感图像分类,可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
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模式识别的
图像的贝叶斯分类
图像的贝叶斯分类
神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
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基于广义高斯模型的自动阈值选取(GKIT),用于图像分割、图像分类。-GKIT:Threshold Selcetion Based on the Generalized Gaussian Models,for image segmentation and classification
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四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
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image color segmentation using Euclidean and Mahalanobis methods
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图像处理与模式识别中的识别算法,刚才传了特征提取,这是后续-Image processing and pattern recognition in the recognition algorithm, just pass the feature extraction, which is the follow-up
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改进的ISODATA图像分类算法实现,用快速算法提高了分类的速度-Improved ISODATA image classification algorithm, using fast algorithm to improve the speed of the classification
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matlab 神经网络算法应用于图片中人物性格识别,通过对神经网络的训练,可以识别图像中是男性还是女性-matlab neural network algorithm is applied to the picture of character recognition, neural network through training, can identify the image is male or female. . .
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图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
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基于kmeans的图像分割算法,首先得到图像,再确定分类,并计算各分类的均值,从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pi
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图像分类软件,用MATLAB语言编写,可实现对象的分类和匹配识别-Image classification software used MATLAB language, enabling the object classification and matching recognition
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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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This toolBox used in the image processing(feature extraction and classification)
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