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Volumn , Issue , 2011, Pages

Spectral-spatial classification of hyperspectral images using hierarchical optimization

Author keywords

classification; hierarchical segmentation; Hyperspectral imaging; support vector machines

Indexed keywords

CLASS LABELS; CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; HIERARCHICAL OPTIMIZATION; HIERARCHICAL SEGMENTATION; HOMOGENEOUS REGIONS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA CLASSIFICATION; HYPERSPECTRAL IMAGING; HYPERSPECTRAL REMOTE SENSING IMAGE; MEAN VECTOR; OPTIMIZATION ALGORITHMS; PIXELWISE CLASSIFICATION; RE-COMPUTING; REGION-MERGING; SPECTRAL-SPATIAL CLASSIFICATION; SUPPORT VECTOR;

EID: 84255182414     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2011.6080900     Document Type: Conference Paper
Times cited : (18)

References (10)
  • 1
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • June
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geos. and Remote Sens., vol. 43, no. 6, pp. 1351-1362, June 2005.
    • (2005) IEEE Trans. Geos. and Remote Sens. , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 3
    • 70449433268 scopus 로고    scopus 로고
    • A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over pavia city, northern Italy
    • X. Huang and L. Zhang, "A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia city, northern Italy," Int. Journal of Remote Sens., vol. 30, no. 12, pp. 3205-3221, 2009.
    • (2009) Int. Journal of Remote Sens. , vol.30 , Issue.12 , pp. 3205-3221
    • Huang, X.1    Zhang, L.2
  • 4
    • 77956694762 scopus 로고    scopus 로고
    • Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers
    • Oct.
    • Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers," IEEE Trans. Systems, Man, and Cybernetics: Part B, vol. 40, no. 5, pp. 1267-1279, Oct. 2010.
    • (2010) IEEE Trans. Systems, Man, and Cybernetics: Part B , vol.40 , Issue.5 , pp. 1267-1279
    • Tarabalka, Y.1    Chanussot, J.2    Benediktsson, J.A.3
  • 8
    • 80051603794 scopus 로고    scopus 로고
    • Marker-based hierarchical segmentation and classification approach for hyperspectral imagery
    • Prague, Czech Republic
    • Y. Tarabalka, J. C. Tilton, J. A. Benediktsson, and J. Chanussot, "Marker-based hierarchical segmentation and classification approach for hyperspectral imagery," in Proc. of ICASSP'11, Prague, Czech Republic, 2011.
    • (2011) Proc. of ICASSP'11
    • Tarabalka, Y.1    Tilton, J.C.2    Benediktsson, J.A.3    Chanussot, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.