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Volumn , Issue , 2008, Pages 359-365

Expectation-Maximization χ Self-Organizing Maps for Image classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; CONFORMAL MAPPING; DEFORESTATION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; INTERNET; MAXIMUM PRINCIPLE; OPTICAL PROJECTORS; REMOTE SENSING;

EID: 60349104512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SITIS.2008.35     Document Type: Conference Paper
Times cited : (3)

References (18)
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    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 5
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    • A coloring fuzzy graph approach for image classification
    • D. Gómez, J. Montero, and J. YáŃez. A coloring fuzzy graph approach for image classification. Information Sciences, 176(24):3645-3657, 2006.
    • (2006) Information Sciences , vol.176 , Issue.24 , pp. 3645-3657
    • Gómez, D.1    Montero, J.2    YáŃez, J.3
  • 7
    • 60349125914 scopus 로고    scopus 로고
    • Comparison of Three Land Cover Classification Algorithms-ISODATA, SMA, and SOM-for the Monitoring of North Korea with MODIS Multi-temporal Data
    • D. Kim. Comparison of Three Land Cover Classification Algorithms-ISODATA, SMA, and SOM-for the Monitoring of North Korea with MODIS Multi-temporal Data. Korean Journal of Remote Sensing, 23(3): 181-188, 2007.
    • (2007) Korean Journal of Remote Sensing , vol.23 , Issue.3 , pp. 181-188
    • Kim, D.1
  • 9
    • 62749121681 scopus 로고    scopus 로고
    • Improvements to Expectation-Maximization approach for Unsupervised classication of remote sensing data
    • T. S. Korting, L. V. Dutra, L. M. G. Fonseca, G. Erthal, and F. C. Silva. Improvements to Expectation-Maximization approach for Unsupervised classication of remote sensing data. In GeoINFO, 2007.
    • (2007) GeoINFO
    • Korting, T.S.1    Dutra, L.V.2    Fonseca, L.M.G.3    Erthal, G.4    Silva, F.C.5
  • 12
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    • Content-based image classification using a neural network
    • S. Park, J. Lee, and S. Kim. Content-based image classification using a neural network. Pattern Recognition Letters, 25(3):287-300, 2004.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.3 , pp. 287-300
    • Park, S.1    Lee, J.2    Kim, S.3
  • 13
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    • A study of Gaussian mixture models of color and texture features for image classification and segmentation
    • H. Permuter, J. Francos, and I. Jermyn. A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognition, 39(4):695-706, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.4 , pp. 695-706
    • Permuter, H.1    Francos, J.2    Jermyn, I.3
  • 18
    • 60349092839 scopus 로고    scopus 로고
    • A Medical Image Segmentation Method Based on SOM and Wavelet Transforms
    • J. Zhang, Q. Liu, and Z. Chen. A Medical Image Segmentation Method Based on SOM and Wavelet Transforms. Journal of Communication and Computer, 2(5):46-50, 2005.
    • (2005) Journal of Communication and Computer , vol.2 , Issue.5 , pp. 46-50
    • Zhang, J.1    Liu, Q.2    Chen, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.