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用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
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这是一个图像超分辨率处理的程序，采用动态确定阶数的算法，根据空间距离和梯度信息限制的双重制约，能够很好的提高图像的分辨率。-This is an image super-resolution processing of the procedure for dynamically determining the order of the algorithm, distance and gradient information based on spatial constraints of the
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he problem of segmenting images of objects with
smooth surfaces is considered. The algorithm we present is a
generalization of the ,K-means clustering algorithm to include
spatial constraints and to account for local intensity variations
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he problem of segmenting images of objects with
smooth surfaces is considered. The algorithm we present is a
generalization of the ,K-means clustering algorithm to include
spatial constraints and to account for local intensity variations
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基于空间几何约束的单目视觉物体测距 基于空间几何约束的单目视觉物体测距-Geometric constraints based on spatial objects ranging monocular vision Geometric constraints based on spatial objects ranging monocular vision
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Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an
effective algorithm suitable for image segmentation. Its effectiveness contributes not
only to introduction of fuzziness for belongingness of each pixel but also to
exploitat
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文章Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure的代码实现(the code of Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure)
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