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Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis
Change Detection principal component analysis fuzzy c-means clustering image differencing remote sensing bi-temporal satellite images
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2014/4/22
Change detection analyze means that according to observations made in different times, the process of defining the change detection occurring in nature or in the state of any objects or the ability of...
AUTOMATIC EXTRACTION OF ROCK JOINTS FROM LASER SCANNED DATA BY MOVING LEAST SQUARES METHOD AND FUZZY K-MEANS CLUSTERING
terrestrial laser scanning rock joint orientation moving least squares fuzzy K-means clustering
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2014/6/5
Recent development of laser scanning device increased the capability of representing rock outcrop in a very high resolution. Accurate 3D point cloud model with rock joint information can help geologis...
基于改进型FCM算法的牛肉大理石花纹提取方法(Beef Marbling Extraction Based on Modified Fuzzy C-means Clustering Algorithm)
牛肉 大理石花纹 提取 模糊C均值
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2010/12/29
提出了一种基于改进型模糊C均值聚类算法的牛肉大理石花纹提取方法。该方法结合了快速模糊C均值(FCM)聚类算法,对传统FCM算法中的隶属函数、聚类数C和初始聚类中心点选取方法进行了优化。试验表明,该方法使牛肉大理石花纹提取的准确度由76.2%提高到85.7%。