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Volumn 4, Issue , 2008, Pages 763-767

Null subspace analysis for spectral unmixing in hyperspectral remote sensing

Author keywords

Endmember; Hyperspectral remote sensing; Null subspace; Spectral unmixing

Indexed keywords

DISTANCE CRITERION; ENDMEMBER; ENDMEMBERS; HYPER-SPECTRAL IMAGING; HYPERSPECTRAL IMAGE ANALYSIS; HYPERSPECTRAL REMOTE SENSING; INTERNATIONAL CONGRESSES; MIXED PIXELS; NULL SUBSPACE; NULL-SUBSPACE ANALYSIS; ORTHOGONAL COMPLEMENT SPACE; REMOTE SENSING TECHNOLOGY; SPECTRAL UNMIXING;

EID: 52149109715     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.161     Document Type: Conference Paper
Times cited : (4)

References (19)
  • 4
    • 31144478389 scopus 로고    scopus 로고
    • A fast iterative algorithm for implementation of pixel purity index
    • C. I. Chang and A. Plaza, "A fast iterative algorithm for implementation of pixel purity index", IEEE Geoscience and Remote Sensing Letters, vol: 3, no. 1, 2006, pp. 63-67.
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , Issue.1 , pp. 63-67
    • Chang, C.I.1    Plaza, A.2
  • 5
    • 0034511661 scopus 로고    scopus 로고
    • Using blocks of skewers for faster computation of pixel purity index
    • Theiler, J., D.D. Lavenier, N.R. Harvey, and et al., "Using blocks of skewers for faster computation of pixel purity index", Proceedings of SPIE 4132, 2000, pp. 61-67.
    • (2000) Proceedings of SPIE , vol.4132 , pp. 61-67
    • Theiler, J.1    Lavenier, D.D.2    Harvey, N.R.3    and et, al.4
  • 6
    • 16444373735 scopus 로고    scopus 로고
    • Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data
    • Nascimento J.M., P, Dias, "Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data", IEEE Trans. Geosci. Remote Sensing, Vol. 43, 2005, pp. 898-910.
    • (2005) IEEE Trans. Geosci. Remote Sensing , vol.43 , pp. 898-910
    • Nascimento, J.M.P.1    Dias2
  • 7
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An Algorithm for Fast Autonomous Spectral Endmember Determination in Hyperspectral Data
    • Winter M E, "N-FINDR: an Algorithm for Fast Autonomous Spectral Endmember Determination in Hyperspectral Data", In: Proc. SPIE Imaging Spectrometry 1999, Vol. 37, 1999, pp. 266-275.
    • (1999) Proc. SPIE Imaging Spectrometry , vol.37 , pp. 266-275
    • Winter, M.E.1
  • 9
    • 57649229726 scopus 로고    scopus 로고
    • Analysing hyperspectral data with independent component analysis
    • J. Bayliss, J. A. Gualtieri, and R. Cromp, "Analysing hyperspectral data with independent component analysis", Proc. SPIE, vol. 3240, 1997, pp. 133-143.
    • (1997) Proc. SPIE , vol.3240 , pp. 133-143
    • Bayliss, J.1    Gualtieri, J.A.2    Cromp, R.3
  • 14
    • 12844266861 scopus 로고    scopus 로고
    • Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?
    • Nascimento J M P, "Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?", IEEE Trans. Geosci. Remote Sensing, Vol. 40(1), 2005, pp. 175-187.
    • (2005) IEEE Trans. Geosci. Remote Sensing , vol.40 , Issue.1 , pp. 175-187
    • Nascimento, J.M.P.1
  • 15
    • 0027334540 scopus 로고
    • Linear mixing and estimation of ground cover proportions
    • Settle J J, Drake, "Linear mixing and estimation of ground cover proportions", Int. J. Remote sensing, vol. 14(6), 1993, pp. 1159-1177.
    • (1993) Int. J. Remote sensing , vol.14 , Issue.6 , pp. 1159-1177
    • Settle, J.J.1    Drake2
  • 17
    • 0642334046 scopus 로고    scopus 로고
    • A fast non-negativity-constrained least squares algorithm
    • Bro R, S D Jong. "A fast non-negativity-constrained least squares algorithm", Journal Chemometrics, vol. 11, 1997, pp. 393-401.
    • (1997) Journal Chemometrics , vol.11 , pp. 393-401
    • Bro, R.1    Jong, S.D.2
  • 18
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery
    • D. Heinz and C. I. Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery", IEEE Trans. Geoscience and Remote Sensing, vol. 39, 2001, pp. 529-545.
    • (2001) IEEE Trans. Geoscience and Remote Sensing , vol.39 , pp. 529-545
    • Heinz, D.1    Chang, C.I.2
  • 19
    • 34047244201 scopus 로고    scopus 로고
    • A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition
    • Lidan Miao, Hairong Qi, Szu H, "A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition", IEEE Trans. Geoscience and Remote Sensing, vol 16(4), 2007, pp. 1008 - 1021.
    • (2007) IEEE Trans. Geoscience and Remote Sensing , vol.16 , Issue.4 , pp. 1008-1021
    • Miao, L.1    Qi, H.2    Szu, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.