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Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
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Linear Spatial Pyramid Matching Using Sparse Coding 图像分类实现代码-Linear Spatial Pyramid Matching Using Sparse Coding image classification implementation code
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用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
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一种基于纹理特征分析的遥感图像分类C++程序-Based on the analysis of texture characteristics of remote sensing image classification C++ program
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经典随机梯度下降SVM,一个简单易读的线性分类器代码,执行速度快,分类准确率也不错,适用于大规模图像分类。-The classic stochastic gradient descent SVM, a linear classifier code easier to read, faster execution speed, good classification accuracy, suitable for large-scale image classification.
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二值描述,主要用于图像的边缘提取 可以用来为图像分类-Binary descr iption, mainly used for the edge extraction of the image can be used to image classification
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应用于图像分类编码中硬投票与软投票两种算法的实现与比较-Implementation and comparison of hard to vote with soft voting two algorithms applied to image classification and coding
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用C++实现了模式识别中K-均值算法的实现,并用于图像分类实现。-Pattern recognition C++ achieve the realization of the K-means algorithm, and used for image classification.
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关于决策树C4.5算法的几篇学术论文(基于C4.5算法的遥感影像分类)-Several papers (C4.5 decision tree algorithm C4.5 algorithm based on image classification)
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对遥感影像进行增强,平滑去噪等,还包括K均值分类-Remote sensing image enhancement, denoising, also including the K-means classification
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小波变换之基于小波多尺度统计特征的图像分类-Image classification based on wavelet multi-scale statistical characteristics
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提取图像的sift特征,将图像的高维特征提取出来,进行量化。实现图像的分类、匹配、检索。-Sift image feature extraction, image classification, matching, retrieval.
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这是一个偏最小二乘法的源程序代码,它用最小二乘法的方法成功实现了数值计算-failed to translate
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基于matlab的自组织神经网络进行遥感图像分类处理-Matlab based on the self-organizing neural network for remote sensing image classification processing
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数字图像处理技术从广义上可看作是各种图像加工技术的总称。它包括利用计算机和其他电子设备完成的一系列工作,如图像采集、获取、编码、存储和传输,图像的合成和产生,图像的显示、绘制和
输出,图像变换、增强、恢复和重建,特征的提取和测量,目标的检测、表达和描述,序列图像的校正,图像数据库的建立、索引、查询和抽取,图像的分类、表示和识别,3D 景物的重建复原,图像模型的建立,图像知识的利用和匹配,图像和场景的解释和理解,以及基于它们的推理、判断、决策和行为规划.-Digital image proce
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用于遥感图像分类。其输入为几幅遥感图像,使用k-mean聚类方法对图像中的不同地形进行聚类分割--For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
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使用C#实现的SIFT算子;SIFT目前最流行的图象特征表示方法,在图象分类,对象领域有广泛应用-Using C# implementation of SIFT operator SIFT currently the most popular method of image feature representation in image classification, object fields have extensive application
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主要是实现ISOdata分类算法对图像进行分类的C++代码。-Mainly to achieve ISOdata classification algorithm for image classification
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适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
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数字图像处理模式识别分类Visual C++源代码-Digital image processing pattern recognition classifier Visual C++ source code
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