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Volumn , Issue , 2004, Pages 51-57

Texture analysis using Gaussian weighted grey level co-occurrence probabilities

Author keywords

Grey level co occurrence probabilities; Image segmentation; Remote sensing imagery; SAR sea ice; Texture analysis; Texture features

Indexed keywords

GREY LEVEL CO-OCCURRENCE PROBABILITIES; REMOTE SENSING IMAGERY; SAR SEA ICE; TEXTURE ANALYSIS; TEXTURE FEATURE;

EID: 4544337060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCRV.2004.1301421     Document Type: Conference Paper
Times cited : (19)

References (14)
  • 1
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    • Baraldi, A.1    Parmiggiani, F.2
  • 4
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    • Textures: A photographic album for artists and designers
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  • 6
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of grey level quantization
    • Clausi, D. A. (2002), 'An analysis of co-occurrence texture statistics as a function of grey level quantization', Can. J. Remote Sensing 28(1), 45-62.
    • (2002) Can. J. Remote Sensing , vol.28 , Issue.1 , pp. 45-62
    • Clausi, D.A.1
  • 7
    • 0031647575 scopus 로고    scopus 로고
    • A fast method to determine co-occurrence texture features
    • Clausi, D. A. & Jernigan, M. E. (1998), 'A fast method to determine co-occurrence texture features', IEEE Trans. Geosci. Remote Sensing 36(1), 298-300.
    • (1998) IEEE Trans. Geosci. Remote Sensing , vol.36 , Issue.1 , pp. 298-300
    • Clausi, D.A.1    Jernigan, M.E.2
  • 8
    • 84945254375 scopus 로고    scopus 로고
    • Comparing cooccurrence probabilities and markov random fields for texture analysis of SAR sea ice imagery
    • Accepted for future publication
    • Clausi, D. A. & Yue, B. (2003), 'Comparing cooccurrence probabilities and markov random fields for texture analysis of SAR sea ice imagery', IEEE Trans. Geosci. Remote Sensing. (Accepted for future publication).
    • (2003) IEEE Trans. Geosci. Remote Sensing
    • Clausi, D.A.1    Yue, B.2
  • 9
    • 0036641822 scopus 로고    scopus 로고
    • Rapid extraction of image texture by co-occurrence using a hybrid data structure
    • Clausi, D. A. & Zhao, Y. (2002), 'Rapid extraction of image texture by co-occurrence using a hybrid data structure', Computers and Geosciences 28, 763-774.
    • (2002) Computers and Geosciences , vol.28 , pp. 763-774
    • Clausi, D.A.1    Zhao, Y.2
  • 11
    • 0021393738 scopus 로고
    • Texture analysis and real-time classification of sea-ice types using digital SAR data
    • Holmes, Q. A., Nuesch, D. R. & Shuchman, R. A. (1984), Texture analysis and real-time classification of sea-ice types using digital SAR data', IEEE Trans. Geosci. Remote Sensing 22(2), 113-120.
    • (1984) IEEE Trans. Geosci. Remote Sensing , vol.22 , Issue.2 , pp. 113-120
    • Holmes, Q.A.1    Nuesch, D.R.2    Shuchman, R.A.3
  • 12
    • 0026288793 scopus 로고
    • Evaluation of second-order texture parameters for sea ice classification from radar images
    • Shokr, M. E. (1991), 'Evaluation of second-order texture parameters for sea ice classification from radar images', J. Geophysical Research 96(C6), 625-640.
    • (1991) J. Geophysical Research , vol.96 , Issue.C6 , pp. 625-640
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  • 13
    • 0033097007 scopus 로고    scopus 로고
    • Texture analysis of SAR sea ice imagery using gray level co-occurence matrices
    • Soh, L. K. & Tsatsoulis, C. (1999), Texture analysis of SAR sea ice imagery using gray level co-occurence matrices', IEEE Trans. Geosci. Remote Sensing 37(2), 780-794.
    • (1999) IEEE Trans. Geosci. Remote Sensing , vol.37 , Issue.2 , pp. 780-794
    • Soh, L.K.1    Tsatsoulis, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.