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Volumn 7695, Issue , 2010, Pages

Semi-supervised hyperspectral image segmentation using regionalized stochastic watershed

Author keywords

Hyperspectral images; Probabilistic segmentation; Regionalized random germs; Semi supervised segmentation; Stochastic watershed

Indexed keywords

HYPERSPECTRAL IMAGING; INDEPENDENT COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; SPECTROSCOPY; STOCHASTIC SYSTEMS; WATERSHEDS;

EID: 77953761692     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.850187     Document Type: Conference Paper
Times cited : (12)

References (19)
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    • Angulo, J.1    Jeulin, D.2
  • 2
    • 77950959012 scopus 로고    scopus 로고
    • Multiscale stochastic watershed for unsupervised hyperspectral image segmentation
    • Cape Town, South Africa, July
    • J. Angulo, S. Velasco-Forero, J. Chanussot. Multiscale stochastic watershed for unsupervised hyperspectral image segmentation. In Proc. of IEEE IGARSS'2009, Vol. III, 93-96, Cape Town, South Africa, July 2009.
    • (2009) Proc. of IEEE IGARSS'2009 , vol.3 , pp. 93-96
    • Angulo, J.1    Velasco-Forero, S.2    Chanussot, J.3
  • 3
    • 0000442474 scopus 로고
    • The morphological approach to segmentation: The watershed transformation
    • Marcel Dekker, Eds. E. Dougherty, 1992
    • S. Beucher, F. Meyer. The Morphological Approach to Segmentation: The Watershed Transformation. In Mathematical Morphology in Image Processing, Marcel Dekker, Eds. E. Dougherty, 1992, 433-481, 1992.
    • (1992) Mathematical Morphology in Image Processing , pp. 433-481
    • Beucher, S.1    Meyer, F.2
  • 11
    • 38049184686 scopus 로고    scopus 로고
    • Random germs and stochastic watershed for unsupervised multispectral image segmentation
    • LNAI 4694, Springer
    • G. Noyel, J. Angulo, D. Jeulin. Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation. In Proc. KES 2007/WIRN 2007, Part III, LNAI 4694, Springer, 17-24, 2007.
    • (2007) Proc. KES 2007/ WIRN 2007 , Issue.PART III , pp. 17-24
    • Noyel, G.1    Angulo, J.2    Jeulin, D.3
  • 13
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    • A novel protocol for accuracy assessment in classification of very high resolution images
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    • (2010) IEEE Trans. on Geoscience and Remote Sensing , vol.48 , Issue.3 , pp. 1232-1244
    • Persello, C.1    Bruzzone, L.2
  • 16
    • 77953764526 scopus 로고    scopus 로고
    • Segmentation and classification of hyperspectral images using watershed transformation
    • Y. Tarabalka, J. Chanussot, J.-A. Benediktsson. Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognition, 2010.
    • (2010) Pattern Recognition
    • Tarabalka, Y.1    Chanussot, J.2    Benediktsson, J.-A.3
  • 18
    • 65049083029 scopus 로고    scopus 로고
    • Improving hyperspectral image classification using spatial preprocessing
    • S. Velasco-Forero, V. Manian. Improving Hyperspectral Image Classification Using Spatial Preprocessing. IEEE Geoscience and Remote Sensing Letters, 6(2): 297-301, 2009.
    • (2009) IEEE Geoscience and Remote Sensing Letters , vol.6 , Issue.2 , pp. 297-301
    • Velasco-Forero, S.1    Manian, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.