搜索资源列表
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非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
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matlab平台的基于bp神经网络的遥感图像分类,matlab platform bp neural network-based remote sensing image classification
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遥感图像分类描述，有代码，也有图像，用Matlab实现-Remote sensing image classification descr iption, code, there are images, achieved with the Matlab
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基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
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遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).
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遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
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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
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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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遥感影像分类后精度评价C++程序，主要是通过混淆矩阵，包括生成者精度，用户精度。-Remote sensing image classification accuracy assessment after C++ program, mainly through the confusion matrix, including generators accuracy, user accuracy.
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神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
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基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material
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遥感图像的自动识别和分类，武汉大学遥感学院课件。-Automatic recognition and remote sensing image classification, Remote Sensing, Wuhan University School of courseware.
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遥感图像基于纹理特征的分类算法，英文文献，有详细设计-Remote sensing image classification algorithm based on texture features, English literature, a detailed design
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几篇高质量的国外有关遥感图像分类的论文，代表了最近最前沿的分类技术，很值得看看，-Several high-quality foreign papers on remote sensing image classification, it is worth a look
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遥感图像处理算法介绍，包括分类、融合、植物检测、变化检测等算法的具体介绍，是编程的基础和遥感的基础知识。-Remote sensing image processing algorithms introduced, including classification, fusion, specific descr iption of the plant detection, change detection algorithm is the basis of the programming and
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基于matlab神经网络的遥感图像分类，使用了BP神经网络-Matlab neural network-based remote sensing image classification using BP neural network
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主要从遥感图像监督分类过程、ERDAS+IMAGINE+应用手册、计算分类以及最后对遥感图像处理中分类的探讨论述各个过程，蛮好的资料。-Mainly from the remote sensing image classification process, ERDAS+IMAGINE+ application manual calculation, classification and the processing of remote sensing image classification d
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一种基于空域信息的支撑向量机的遥感图像分类算法-A Remote Sensing Image Classification Algorithm Based on Spatial Information and Support Vector Machine
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