Description: Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. Platform: |
Size: 216780 |
Author:john |
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Description: 图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域-Image independent component decomposition of the statistical package, can be used for face recognition, non-supervised classification, the fields of signal extraction Platform: |
Size: 38912 |
Author:黄昕 |
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Description: Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. Platform: |
Size: 216064 |
Author:john |
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Description: 此算法利用一种有监督的人工免疫系统实现一个图像分类的分类器。-This algorithm used a supervised artificial immune system to achieve the classification of an image classifier. Platform: |
Size: 546816 |
Author:钮 吉 |
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Description: 提供遥感图像的非监督分类，专业性比较强，可以提供给GIS RS GPS等地理专业的同志参看-Provide remote sensing image supervised classification of non-professional are relatively strong, could be made available to the GIS RS GPS and other geo-professional comrades see Platform: |
Size: 270336 |
Author:zcs |
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Description: 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像
的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分
数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光
谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network of aviation remote sensing image supervised classification method. This method tries to aerial images of the spectral information and texture characteristics of the combination. It will first color aerial images from the RGB format into HSI format, and then, according to the brightness calculation of fractal dimension, the generalized multi-fractal dimension spectrum qD (q) and the Platform: |
Size: 274432 |
Author:xuhuoping |
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Description: 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑
处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还
有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image transformations, linear stretching transformation, smoothing, including parallel and serial processing, including gradient sharpening sharpening, Roberts sharpening, laplace sharpening, sobel sharpening, as well as with the absolute distance and Mahalanobis distance algorithm of the supervised classification algorithms, including the RAW format of data resources Platform: |
Size: 10661888 |
Author:幻影 |
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Description: 实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。
对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。
深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。
利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。
-SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification. Platform: |
Size: 1626112 |
Author:招伟杰 |
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Description: 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds Platform: |
Size: 108544 |
Author:姜红茹 |
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Description: arcengine10.1+vs2010开发的具有监督和非监督分类功能的遥感影像分类系统-arcengine10.1+ vs2010 development of remote sensing image classification system has supervised and unsupervised classification function Platform: |
Size: 307200 |
Author:yuekailan |
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Description: 实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for ISODATA Platform: |
Size: 227328 |
Author:lizhipeng |
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Description: 包括遥感图像分类（监督和非监督）、分类后处理、NDVI、波段运算、颜色转换、光谱分析等等。(It includes remote sensing image classification (supervised and unsupervised), post-processing classification, NDVI, band operation, color conversion, spectral analysis and so on.) Platform: |
Size: 5283840 |
Author:azx123 |
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Search - supervised image classification