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最大最小距离分类算法实现平面点的分类
如果添加文件数据输入数据，可实现对DEM数据或者遥感图像的处理-The largest minimum distance classification algorithm to achieve the classification of planar points, the input data if you add the file data can be realized on the DEM data or remote sensing image
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基于bp神经网络的遥感图像的分类和识别的MATLAB实现-Bp neural network-based remote sensing image classification and recognition of the MATLAB implementation
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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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高分辨率遥感图像进行识别分类，寻找出边界，然后进行进一步处理-In recognition classification of high resolution remote sensing image, find out the boundary, and then for further processing
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利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显-Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification eff
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图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等-Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification,
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一个提取遥感影像光谱特征的程序，易于理解，分类精度高-An extraction of remote sensing image spectral characteristics of the program, easy to understand, high classification accuracy
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利用最大似然法，通过感兴趣区域对遥感图像进行分类-Using the maximum likelihood method, by region of interest on remote sensing image classification
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利用深度学习进行遥感图像场景分类
这里我们对NWPU-RESISC45数据集的场景图像进行分类
我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning
Here we classify scene images from NWPU-RESISC45 dataset
We apply
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