메뉴 건너뛰기




Volumn 32, Issue 7, 1999, Pages 1161-1174

An unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery

Author keywords

Band number constraint (BNC); Orthogonal subspace projection (OSP); Unsupervised vector quantization based target subspace projection (UVQTSP)

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; INFRARED IMAGING; MATRIX ALGEBRA; PROBABILITY DENSITY FUNCTION; VECTORS;

EID: 0033167181     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00150-2     Document Type: Article
Times cited : (29)

References (16)
  • 2
    • 0028467206 scopus 로고
    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • [2] J.C. Harsanyi, C.-I Chang, Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach, IEEE Trans. Geosci. Remote Sensing GE-32 (1994) 779-785.
    • (1994) IEEE Trans. Geosci. Remote Sensing , vol.GE-32 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 4
    • 0344897415 scopus 로고    scopus 로고
    • Defense Advanced Research Projects Agency, Annapolis, MD, 1-2 July
    • [4] DARPA Spectral Exploitation Workshop, Defense Advanced Research Projects Agency, Annapolis, MD, 1-2 July 1997.
    • (1997) DARPA Spectral Exploitation Workshop
  • 5
    • 0345328450 scopus 로고    scopus 로고
    • note
    • [5] Spectroradiometric Working Group, VA, 2-3 February, 1997.
  • 8
    • 0032751982 scopus 로고    scopus 로고
    • A Kalman filtering approach to multispectral image classification with signature abundance estimation
    • Jan.
    • [8] C.-I Chang and C. Brumbley, A Kalman filtering approach to multispectral image classification with signature abundance estimation, IEEE Trans. on Geoscience and Remote Sensing. Vol 37, No. 1, Jan. 1999.
    • (1999) IEEE Trans. on Geoscience and Remote Sensing , vol.37 , Issue.1
    • Chang, C.-I.1    Brumbley, C.2
  • 9
    • 0030822321 scopus 로고    scopus 로고
    • A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection
    • [9] T.M. Tu, C.H. Chen, C.-I Chang, A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection, IEEE Trans. Geosci. Remote Sensing GE-35 (1997) 127-139.
    • (1997) IEEE Trans. Geosci. Remote Sensing , vol.GE-35 , pp. 127-139
    • Tu, T.M.1    Chen, C.H.2    Chang, C.-I.3
  • 10
    • 0006606953 scopus 로고    scopus 로고
    • Least squares subspace projection approach to mixed pixel classification for hyperspectral images
    • [10] C.-I Chang, X. Zhao, M.L.G. Althouse, J.J. Pan, Least squares subspace projection approach to mixed pixel classification for hyperspectral images, IEEE Trans. Geosci. Remote Sensing GE-36 (1998) 898-912.
    • (1998) IEEE Trans. Geosci. Remote Sensing , vol.GE-36 , pp. 898-912
    • Chang, C.-I.1    Zhao, X.2    Althouse, M.L.G.3    Pan, J.J.4
  • 12
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • [12] S. Chen, C.F.N. Cowan, and P.M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans. Neural Networks NN-2 (1991) 302-309.
    • (1991) IEEE Trans. Neural Networks , vol.NN-2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 13
    • 0018918171 scopus 로고
    • An algorithm for vector quantizer design
    • [13] Y. Linde, A. Buzo, R.M. Gray, An algorithm for vector quantizer design, IEEE Trans. Commun. COM-28 (1980) 84-95.
    • (1980) IEEE Trans. Commun. , vol.COM-28 , pp. 84-95
    • Linde, Y.1    Buzo, A.2    Gray, R.M.3
  • 15
    • 0032751982 scopus 로고    scopus 로고
    • Linear unmixing Kalman filtering approach to signature abundance detection, signature estimation and subpixel classification for remotely sensed images
    • January
    • [15] C.-I. Chang, C. Brumbley, Linear unmixing Kalman filtering approach to signature abundance detection, signature estimation and subpixel classification for remotely sensed images, IEEE Trans. Aerospace and Electronic Systems, Vol. 37, No. 1, January 1999.
    • (1999) IEEE Trans. Aerospace and Electronic Systems , vol.37 , Issue.1
    • Chang, C.-I.1    Brumbley, C.2
  • 16
    • 0006591241 scopus 로고    scopus 로고
    • An experiment-based quantitative and comparative analysis of hyperspectral target detection and image classification algorithms
    • submitted to (revised)
    • [16] C.-I Chang, H. Ren, An experiment-based quantitative and comparative analysis of hyperspectral target detection and image classification algorithms, submitted to IEEE Transaction on Geoscience and Remote Sensing, 1998 (revised).
    • (1998) IEEE Transaction on Geoscience and Remote Sensing
    • Chang, C.-I.1    Ren, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.