搜索资源列表
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基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。-Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).
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Image classification
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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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基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
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K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
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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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BP神经网络图像分类程序,代码很好懂，适合初学者。样本选的不是很大。-BP neural network image classification procedures, code easy to understand for beginners. Sample selected is not great.
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Matlab写的SVM图像分类程序，是完整的可运行的图像分类程序，高手可以研究一下。-Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.
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基于图像的sift特征对六类不同的图片进行分类：打电话、跑步、骑自行车等。-Based sift feature images of six different pictures classification: phone calls, running, cycling and so on.
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图像聚类算法的vc++实现，对于图像聚类的初学者是不可多得的资料，先分享供大家学习、交流。-Image clustering algorithm vc++ realized, for beginners is a rare image clustering information, to share for everyone to learn, exchange.
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基于LLC的图像分类器，使用请阅读README。-LLC-based image classification, please read README.
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This a supervised classification code-This is a supervised classification code
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极化SAR分类方向的很好的入门PPT资料，对各种相干、非相干分解方法以及监督、非监督分类方法做了简单的阐述-polarimetric SAR decomposition and image classification
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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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基于支持向量机的图像分类，含有各种图像分类实例，以及最小二乘支持向量机优化算法-Image classification based on support vector machine, including various image classification examples, and least squares support vector machine optimization algorithm
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python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
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分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb
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图像处理，计算机视觉，很好的代码，推荐下载(Image processing, computer vision, good code)
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国防科技大学博士周晓光论文-极化SAR图像分类方法研究(Research on polarization SAR image classification method by Dr. Zhou Xiaoguang of National University of Defense Technology)
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在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)
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