Global segmentation of textural images on the basis of hierarchical clusterization by predetermined cluster separability

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• 作者：V. S. Sidorova
• 关键词：remote sensing ; uncontrolled classification ; multidimensional histogram ; cluster separability ; hierarchical algorithm ; texture
• 刊名：Pattern Recognition and Image Analysis
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：25
• 期：3
• 页码：541-546
• 全文大小：2,197 KB
• 参考文献：1.V. S. Sidorova, 鈥淯nsupervised classification of forest鈥檚 image by texture model features,鈥?Pattern Recogn. Image Anal. 19 (4), 698鈥?03 (2009).CrossRef
  2.V. S. Sidorova, 鈥淐lustering algorithm for distant probe texture data,鈥?Avtometriya 46 (5), 43鈥?2 (2010).
  3.P. M. Narendra and M. Goldberg, 鈥淎 non-parametric clustering scheme for LANDSAT,鈥?Pattern Recogn., No. 9, 207鈥?15 (1977).CrossRef
  4.V. S. Sidorova, 鈥淗istogram clustering validation for multispectral image,鈥?Optoelectron., Instrum. Data Processing. 43 (1), 28鈥?2 (2007).MathSciNet CrossRef
  5.V. S. Sidorova. 鈥淒etecting Clusters of Specified Separability for Multispectral Data on Various Hierarchical Levels,鈥?Pattern Recogn. Image Anal. 24 (1), 151鈥?55 (2014).CrossRef
  6.V. S. Sidorova, 鈥淗ierarchical cluster algorithm for remote sensing data of Earth,鈥?Pattern Recogn. Image Anal. 22 (2), 373鈥?79 (2012).CrossRef
  7.R. L. Kashyap and R. Chellapa, 鈥淓stimation and choice of neighbors in spatial interaction models of images,鈥?IEEE Trans. Inform. Theory 1, 60鈥?2 (1983).CrossRef
  8.V. H. Sedyh, Shaping the Cedar Forests (Science, Novosibirsk, 1979) [in Russian].
  9.R. M. Haralick, K. Shanmugam, and I. Dinstein, 鈥淭extural features for image classification,鈥?IEEE Trans. Syst. Man. Cybern. SMS-3, 610鈥?21 (1973).CrossRef
  10.M. Halkidi, Y. Batistakis, and M. Vazirgiannis, 鈥淥n clustering validation techniques,鈥?J. Intellig. Inf. Syst., No. 17(2-3), 107 (2001).MATH CrossRef
  
• 作者单位：V. S. Sidorova (1)
  
  1. Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, pr. Lavrentieva 6, Novosibirsk, 630090, Russia
  
• 刊物类别：Computer Science
• 刊物主题：Pattern Recognition
  Image Processing and Computer Vision
  Russian Library of Science
  
• 出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.
• ISSN：1555-6212

文摘

Automatic clusterization and follow segmentation of aerial pictures images by textural features is are considered. A divisible histogram hierarchical algorithm with search of clusters with preset separability is used. The peculiarity of segmentation by statistical textural features are taken into account. The parameters of the model for SAR imaging are used as textural features for automatic uncontrolled classification of forest landscapes in aerial images. Keywords remote sensing uncontrolled classification multidimensional histogram cluster separability hierarchical algorithm texture