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Volumn , Issue , 2014, Pages 4876-4879

First tests on near real time ice type classification in Antarctica

Author keywords

GLCM features; neural network; sea ice classification; ship navigation; TerraSAR X

Indexed keywords

NEURAL NETWORKS; SEA ICE; SHIPS;

EID: 84911455492     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6947587     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 1
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    • Classification of sea ice types in ENVISAT synthetic aperture radar images
    • IEEE Transactions on
    • N. Zakhvatkina, V. Alexandrov, O. Johannessen, S. Sandven, and I. Frolov, "Classification of Sea Ice Types in ENVISAT Synthetic Aperture Radar Images," Geoscience and Remote Sensing, IEEE Transactions on, 51(5), 1648-1664, 2013.
    • (2013) Geoscience and Remote Sensing , vol.51 , Issue.5 , pp. 1648-1664
    • Zakhvatkina, N.1    Alexandrov, V.2    Johannessen, O.3    Sandven, S.4    Frolov, I.5
  • 2
    • 0035540780 scopus 로고    scopus 로고
    • Comparison and fusion of co-occurrence, gabor and MRF texture features for classification of SAR sea-ice imagery
    • D. Clausi, "Comparison and fusion of co-occurrence, Gabor and MRF texture features for classification of SAR sea-ice imagery," Atmosphere-Ocean, 39(3), pp. 183-194, 2001.
    • (2001) Atmosphere-Ocean , vol.39 , Issue.3 , pp. 183-194
    • Clausi, D.1
  • 3
    • 23844554532 scopus 로고    scopus 로고
    • Multisensor approach to automated classification of sea ice image data
    • IEEE Transactions on
    • A. Bogdanov, S. Sandven, O. Johannessen, V. Alexandrov, and L. Bobylev, "Multisensor Approach to Automated Classification of Sea Ice Image Data," Geoscience and Remote Sensing, IEEE Transactions on, 43(7), pp. 1648-1664, 2005.
    • (2005) Geoscience and Remote Sensing , vol.43 , Issue.7 , pp. 1648-1664
    • Bogdanov, A.1    Sandven, S.2    Johannessen, O.3    Alexandrov, V.4    Bobylev, L.5
  • 5
    • 84875048442 scopus 로고    scopus 로고
    • A multilevel SAR sea ice image classification method by incorporating egg-code-based expert knowledge
    • 5th International Congress on. IEEE
    • T. Wang, X. Yang, Y. Wang, J. Fang, and L. Jia, "A multilevel SAR sea ice image classification method by incorporating egg-code-based expert knowledge." Image and Signal Processing (CISP), 5th International Congress on. IEEE, 2012.
    • (2012) Image and Signal Processing (CISP)
    • Wang, T.1    Yang, X.2    Wang, Y.3    Fang, J.4    Jia, L.5
  • 7
    • 0015680481 scopus 로고
    • Textural features for image classification
    • IEEE Transactions on
    • R. M. Haralick, K. Shanmugam, and I. H. Dinstein. "Textural features for image classification," Systems, Man and Cybernetics, IEEE Transactions on, (6), pp. 610-621, 1973.
    • (1973) Systems, Man and Cybernetics , Issue.6 , pp. 610-621
    • Haralick, R.M.1    Shanmugam, K.2    Dinstein, I.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.