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Volumn 7, Issue 4, 2010, Pages 801-805

Improvement of classification for hyperspectral images based on tensor modeling

Author keywords

Classification; dimensionality reduction (DR); flattening; quadtree; tensor; Wiener filtering

Indexed keywords

CLASSIFICATION; DIMENSIONALITY REDUCTION (DR); FLATTENING; QUAD TREES; WIENER FILTERING;

EID: 77958020335     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2010.2048696     Document Type: Article
Times cited : (74)

References (20)
  • 2
    • 85032751896 scopus 로고    scopus 로고
    • Hyperspectral image data analysis as a high dimensional signal processing problem
    • Jan
    • D. Landgrebe, "Hyperspectral image data analysis as a high dimensional signal processing problem", IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002.
    • (2002) IEEE Signal Process. Mag. , vol.19 , Issue.1 , pp. 17-28
    • Landgrebe, D.1
  • 4
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • Mar
    • A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations", IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 466-479, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 466-479
    • Plaza, A.1    Martinez, P.2    Plaza, J.3    Perez, R.4
  • 5
    • 14644419043 scopus 로고    scopus 로고
    • Full spectrum spectral imaging system analytical model
    • Mar
    • J. Kerekes and J. Baum, "Full spectrum spectral imaging system analytical model", IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 571-580, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 571-580
    • Kerekes, J.1    Baum, J.2
  • 8
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • Mar
    • C. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery", IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608-619, Mar. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.1    Du, Q.2
  • 9
    • 0242542684 scopus 로고    scopus 로고
    • Wavelet-based hyperspectral image estimation
    • I. Atkinson, F. Kamalabadi, and D. Jones, "Wavelet-based hyperspectral image estimation", in Proc. IGARSS Conf., 2003, vol. 2, pp. 743-745.
    • (2003) Proc. IGARSS Conf. , vol.2 , pp. 743-745
    • Atkinson, I.1    Kamalabadi, F.2    Jones, D.3
  • 10
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Jan
    • A. Green, M. Berman, P. Switzer, and M. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal", IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
    • (1988) IEEE Trans. Geosci. Remote Sens. , vol.26 , Issue.1 , pp. 65-74
    • Green, A.1    Berman, M.2    Switzer, P.3    Craig, M.4
  • 11
    • 31344444452 scopus 로고    scopus 로고
    • Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage
    • Feb
    • H. Othman and S.-E. Qian, "Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage", IEEE Trans. Geosci. Remote Sens., vol. 44, no. 2, pp. 397-408, Feb. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.2 , pp. 397-408
    • Othman, H.1    Qian, S.-E.2
  • 13
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • May
    • D. Donoho, "De-noising by soft-thresholding", IEEE Trans. Inf. Theory, vol. 41, no. 3, pp. 613-627, May 1995.
    • (1995) IEEE Trans. Inf. Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.1
  • 14
    • 35348920168 scopus 로고    scopus 로고
    • Feature selection and classification of hyperspectral images with support vector machines
    • Oct
    • R. Archibal and G. Fann, "Feature selection and classification of hyperspectral images with support vector machines", IEEE Trans. Geosci. Remote Sens., vol. 4, no. 4, pp. 674-677, Oct. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.4 , Issue.4 , pp. 674-677
    • Archibal, R.1    Fann, G.2
  • 15
    • 0038019702 scopus 로고    scopus 로고
    • A denoising approach to multichannel signal estimation
    • A. Rao and D. Jones, "A denoising approach to multichannel signal estimation", IEEE Trans. Signal Process., vol. 48, no. 5, pp. 1225-1234, 2000.
    • (2000) IEEE Trans. Signal Process. , vol.48 , Issue.5 , pp. 1225-1234
    • Rao, A.1    Jones, D.2
  • 16
    • 0035683732 scopus 로고    scopus 로고
    • Linear images coding for regression and classification using the tensor-rank principle
    • A. Shashua and A. Levin, "Linear images coding for regression and classification using the tensor-rank principle", in Proc. CVPR, 2001, vol. 1, pp. 42-49.
    • (2001) Proc. CVPR , vol.1 , pp. 42-49
    • Shashua, A.1    Levin, A.2
  • 17
    • 33750146454 scopus 로고    scopus 로고
    • Survey on tensor signal algebraic filtering
    • Feb
    • D. Muti and S. Bourennane, "Survey on tensor signal algebraic filtering", Signal Process., vol. 87, no. 2, pp. 237-249, Feb. 2007.
    • (2007) Signal Process. , vol.87 , Issue.2 , pp. 237-249
    • Muti, D.1    Bourennane, S.2
  • 18
    • 0035392132 scopus 로고    scopus 로고
    • Hyperspectral subpixel target detection using the linear mixing model: Analysis of hyperspectral image data
    • Jul
    • D. Manolakis, C. Siracusa, and G. Shaw, "Hyperspectral subpixel target detection using the linear mixing model: Analysis of hyperspectral image data", IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1392-1409, Jul. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.7 , pp. 1392-1409
    • Manolakis, D.1    Siracusa, C.2    Shaw, G.3
  • 19
    • 0021644214 scopus 로고
    • The quadtree and related hierarchical data structure
    • Jun
    • H. Samet, "The quadtree and related hierarchical data structure", ACM Comput. Surv., vol. 16, no. 2, pp. 188-260, Jun. 1984.
    • (1984) ACM Comput. Surv. , vol.16 , Issue.2 , pp. 188-260
    • Samet, H.1
  • 20
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • Jun
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.