메뉴 건너뛰기




Volumn 38, Issue 4W19, 2011, Pages 33-38

Hyperspectral image resolution enhancement based on spectral unmixing and information fusion

Author keywords

Hyperspectral remote sensing; Hyperspectral unmixing; Image fusion; Subpixel restoration reconstruction

Indexed keywords

HYPERSPECTRAL IMAGING; IMAGE FUSION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; PIXELS; REMOTE SENSING; RESTORATION; SPECTRAL RESOLUTION; SPECTROSCOPY;

EID: 84923933795     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (10)
  • 1
    • 14644411721 scopus 로고    scopus 로고
    • Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions
    • IEEE Transactions on
    • Eismann, M. and Hardie, R., 2005. Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions. Geoscience and Remote Sensing, IEEE Transactions on 43(3), pp. 455-465.
    • (2005) Geoscience and Remote Sensing , vol.43 , Issue.3 , pp. 455-465
    • Eismann, M.1    Hardie, R.2
  • 2
    • 69949128613 scopus 로고    scopus 로고
    • L1 unmixing and its application to hyperspectral image enhancement
    • Presented at the Society of Photo-Optical Instrumentation Engineers (SPIE) Conference
    • Guo, Z., Wittman, T. and Osher, S., 2009. L1 unmixing and its application to hyperspectral image enhancement. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Presented at the Society of Photo-Optical Instrumentation Engineers (SPIE) Conference, Vol. 7334.
    • (2009) Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series , vol.7334
    • Guo, Z.1    Wittman, T.2    Osher, S.3
  • 3
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
    • IEEE Transactions on
    • Heinz, D. and Chein-I-Chang, 2001. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery. Geoscience and Remote Sensing, IEEE Transactions on 39(3), pp. 529-545.
    • (2001) Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chein-I-Chang2
  • 4
    • 8144231500 scopus 로고    scopus 로고
    • A survey of spectral unmixing algorithms a survey of spectral unmixing
    • Keshava, N., 2003. A survey of spectral unmixing algorithms a survey of spectral unmixing. Lincoln Laboratory Jurnal 14, pp. 55-78.
    • (2003) Lincoln Laboratory Jurnal , vol.14 , pp. 55-78
    • Keshava, N.1
  • 5
    • 62749158379 scopus 로고    scopus 로고
    • Optimum method selection for resolution enhancement of hyperspectral imagery
    • Mianji, F., Zhang, Y. and Babakhani, A., 2009. Optimum method selection for resolution enhancement of hyperspectral imagery. Information Technology Journal 8, pp. 263.
    • (2009) Information Technology Journal , vol.8 , pp. 263
    • Mianji, F.1    Zhang, Y.2    Babakhani, A.3
  • 6
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • IEEE Transactions on
    • Nascimento, J. and Dias, J., 2005. Vertex component analysis: a fast algorithm to unmix hyperspectral data. Geoscience and Remote Sensing, IEEE Transactions on 43(4), pp. 898-910.
    • (2005) Geoscience and Remote Sensing , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.1    Dias, J.2
  • 7
    • 33244458725 scopus 로고    scopus 로고
    • Superresolution mapping using a hopfield neural network with fused images
    • IEEE Transactions on
    • Nguyen, M., Atkinson, P. and Lewis, H., 2006. Superresolution mapping using a hopfield neural network with fused images. Geoscience and Remote Sensing, IEEE Transactions on 44(3), pp. 736-749.
    • (2006) Geoscience and Remote Sensing , vol.44 , Issue.3 , pp. 736-749
    • Nguyen, M.1    Atkinson, P.2    Lewis, H.3
  • 9
    • 78650858461 scopus 로고    scopus 로고
    • Super-resolution: An efficient method to improve spatial resolution of hyperspectral images
    • Villa, A., Chanussot, J., Benediktsson, J. A., Ulfarsson, M. and Jutten, C., 2010. Super-resolution: An efficient method to improve spatial resolution of hyperspectral images. IGARSS.
    • (2010) IGARSS
    • Villa, A.1    Chanussot, J.2    Benediktsson, J.A.3    Ulfarsson, M.4    Jutten, C.5
  • 10
    • 0032627246 scopus 로고    scopus 로고
    • Unmixing-based multisensor multiresolution image fusion
    • IEEE Transactions on
    • Zhukov, B., Oertel, D., Lanzl, F. and Reinhackel, G., 1999. Unmixing-based multisensor multiresolution image fusion. Geo-science and Remote Sensing, IEEE Transactions on 37(3), pp. 1212-1226.
    • (1999) Geo-science and Remote Sensing , vol.37 , Issue.3 , pp. 1212-1226
    • Zhukov, B.1    Oertel, D.2    Lanzl, F.3    Reinhackel, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.