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: 基于神经网路的遥感图像分类，使用神经网络对几幅不同频段的遥感图像分类，主要是区分图像中不同的地形区域。-Neural network-based remote sensing image classification, the use of neural networks on a number of different band remote sensing image classification, mainly to distinguish between images of different regions of the terrain. Platform: |
Size: 1244160 |
Author:xxl |
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Description: 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 Platform: |
Size: 419840 |
Author:xxl |
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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: 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 network, and then use the network to classify Platform: |
Size: 1413120 |
Author:李琛 |
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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: 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: 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 Platform: |
Size: 1425408 |
Author:李琛 |
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Description: 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 return to the RGB image classification showing the proportion of various types of area features Platform: |
Size: 1423360 |
Author:李琛 |
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Description: 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 Platform: |
Size: 1024 |
Author:郝跃军 |
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Description: 人工神经网络及其在盐田水体遥感图像分类中的研究-Artificial Neural Network and Its Application in salt water in the study of remote sensing image classification Platform: |
Size: 205824 |
Author:sds |
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Description: 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. Platform: |
Size: 5120 |
Author:葛宏 |
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Description: 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 Platform: |
Size: 6300672 |
Author:黄玲 |
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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: 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 discussion to each process, very good information. Platform: |
Size: 9327616 |
Author:紫一 |
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Description: 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 Platform: |
Size: 2940928 |
Author:王智罡 |
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