메뉴 건너뛰기




Volumn 2016-November, Issue , 2016, Pages 5075-5078

Convolutional neural network based classification for hyperspectral data

Author keywords

classification; convolutional neural network; deep learning; hyperspectral sensing

Indexed keywords


EID: 85007506834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7730323     Document Type: Conference Paper
Times cited : (45)

References (10)
  • 1
    • 78349238599 scopus 로고    scopus 로고
    • Integration of spatial-spectral information for hyperspectral image classification
    • Aug
    • Y. Yan, Y. Zhao, H. Xue, X. Kou, and Y. Liu, "Integration of spatial-spectral information for hyperspectral image classification", in Proc. 2nd IITAGRS, vol. 1, pp. 242-245, Aug. 2010
    • (2010) Proc. 2nd IITAGRS , vol.1 , pp. 242-245
    • Yan, Y.1    Zhao, Y.2    Xue, H.3    Kou, X.4    Liu, Y.5
  • 2
    • 56849127860 scopus 로고    scopus 로고
    • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
    • Nov
    • M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles", IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.11 , pp. 3804-3814
    • Fauvel, M.1    Benediktsson, J.A.2    Chanussot, J.3    Sveinsson, J.R.4
  • 3
    • 0021892045 scopus 로고
    • Imaging spectrometry for earth remote sensing
    • Jun
    • A. F. H. Goetz, G. Vane, J. E. Solomon, and B. N. Rock, "Imaging spectrometry for earth remote sensing," Science, vol. 228, no. 4704, pp. 1147-1153, Jun. 1985
    • (1985) Science , vol.228 , Issue.4704 , pp. 1147-1153
    • Goetz, A.F.H.1    Vane, G.2    Solomon, J.E.3    Rock, B.N.4
  • 4
    • 65049084094 scopus 로고    scopus 로고
    • Semisupervised remote sensing image classification with cluster kernels
    • Apr
    • D. Tuia and G. Camps-Valls, "Semisupervised remote sensing image classification with cluster kernels," IEEE Geosci. Remote Sens. Lett , vol. 6,no. 2, pp. 224-228, Apr. 2009
    • (2009) IEEE Geosci. Remote Sens. Lett , vol.6 , Issue.2 , pp. 224-228
    • Tuia, D.1    Camps-Valls, G.2
  • 5
    • 78049264379 scopus 로고    scopus 로고
    • Local manifold learning based nearest neighbor for hyperspectral image classification
    • Nov
    • L. Ma, M. M. Crawford, and J. Tian, "Local manifold learning based nearest neighbor for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.11 , pp. 4099-4109
    • Ma, L.1    Crawford, M.M.2    Tian, J.3
  • 7
    • 84906484697 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • Vision, Zurich, Germany
    • C. Dong, C. Loy, K. He, and X. Tang, "Learning a deep convolutional network for image super-resolution," in Proc. European Conf. on Computer Vision, Zurich, Germany, pp. 184-199, 2014
    • (2014) Proc. European Conf. on Computer , pp. 184-199
    • Dong, C.1    Loy, C.2    He, K.3    Tang, X.4
  • 8
    • 84867605836 scopus 로고    scopus 로고
    • Applying convolutional neural networks concept to hybrid NNHMM model for speech recognition
    • Kyoto, Japan
    • O. Abdel-Hamid, A. Mohamed, H. Jiang, and G. Penn, "Applying convolutional neural networks concept to hybrid NNHMM model for speech recognition," in Proc. ICASSP, Kyoto, Japan, pp. 4277-4280, 2012
    • (2012) Proc. ICASSP , pp. 4277-4280
    • Abdel-Hamid, O.1    Mohamed, A.2    Jiang, H.3    Penn, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.