메뉴 건너뛰기




Volumn , Issue , 2008, Pages

Level set segmentation of hyperspectral images using joint spectral edge and signature information

Author keywords

Hyperspectral imagery; Level set segmentation; Spectral gradient; Spectral signature

Indexed keywords

DATA FUSION; FUSION REACTIONS; IMAGE SEGMENTATION; INFORMATION FUSION;

EID: 56749138135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2008.4632446     Document Type: Conference Paper
Times cited : (2)

References (18)
  • 2
    • 34948866142 scopus 로고    scopus 로고
    • Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper
    • July
    • J. E. Ball and L.M. Bruce, "Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper," in Geoscience and Remote Sensing Symposium, 2006, pp. 2596-2600, July, 2006.
    • (2006) Geoscience and Remote Sensing Symposium, 2006 , pp. 2596-2600
    • Ball, J.E.1    Bruce, L.M.2
  • 3
    • 56749172068 scopus 로고    scopus 로고
    • Level Set Hyperspectral Image Classification Using Best Band Analysis
    • October
    • J.E. Ball and L.M. Bruce, "Level Set Hyperspectral Image Classification Using Best Band Analysis," in IEEE Transactions on Geoscience and Remote Sensing, vol.45, no.10, pp.3022-3027, October, 2007.
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.10 , pp. 3022-3027
    • Ball, J.E.1    Bruce, L.M.2
  • 4
    • 33746885881 scopus 로고    scopus 로고
    • Support vector methods for anomaly detection in hyperspectral imagery
    • August
    • A. Banerjee, P. Burlina, C. Diehl, "Support vector methods for anomaly detection in hyperspectral imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 8, pp. 2282-2291, August, 2006.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.8 , pp. 2282-2291
    • Banerjee, A.1    Burlina, P.2    Diehl, C.3
  • 5
    • 82355186673 scopus 로고    scopus 로고
    • A. Banerjee, P. Burlina, J. Broadwater, A machine learning approach for finding hyperspectral End-members, in Trans. IGARS, Barcelona, 2007.
    • A. Banerjee, P. Burlina, J. Broadwater, "A machine learning approach for finding hyperspectral End-members", in Trans. IGARS, Barcelona, 2007.
  • 6
    • 0034546236 scopus 로고    scopus 로고
    • Comparison of Gaussian mixture and linear mixture models for classification of hyperspectral data
    • Honolulu, HI, pp, July
    • S.G. Beaven, D. Stein, and L.E. Hoff, "Comparison of Gaussian mixture and linear mixture models for classification of hyperspectral data," in Proc. IGARSS 2000, Honolulu, HI, pp. 1597-1599, July, 2000.
    • (2000) Proc. IGARSS 2000 , pp. 1597-1599
    • Beaven, S.G.1    Stein, D.2    Hoff, L.E.3
  • 7
    • 0028392841 scopus 로고
    • A Multiscale Random Field Model for Bayesian Image Segmentation
    • C.A. Bouman, and M. Shapiro, "A Multiscale Random Field Model for Bayesian Image Segmentation," IEEE Trans. Image Processing, Vol. 3, pp. 162-177, 1994.
    • (1994) IEEE Trans. Image Processing , vol.3 , pp. 162-177
    • Bouman, C.A.1    Shapiro, M.2
  • 8
    • 0021518209 scopus 로고
    • Stochastic Relaxation, Gibbs Distribution, and Bayesian Restoration of Images
    • S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distribution, and Bayesian Restoration of Images," IEEE Trans. Pattern Anal. Machine Intell., Vol. 6, pp. 721-741, 1984.
    • (1984) IEEE Trans. Pattern Anal. Machine Intell , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 10
    • 13144293109 scopus 로고    scopus 로고
    • Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
    • February
    • H. Kwon and N. Nasrabadi, "Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery," in IEEE Transactions on Geoscence and Remote Sensing, vol. 43, no. 2, pp. 388-397, February, 2005.
    • (2005) IEEE Transactions on Geoscence and Remote Sensing , vol.43 , Issue.2 , pp. 388-397
    • Kwon, H.1    Nasrabadi, N.2
  • 11
    • 0001863842 scopus 로고
    • Constructing Simple Stable Descriptions for Image Partitioning
    • Y. LeClerc, "Constructing Simple Stable Descriptions for Image Partitioning," International Journal of Computer Vision, Vol. 3, pp. 73-102, 1989.
    • (1989) International Journal of Computer Vision , vol.3 , pp. 73-102
    • LeClerc, Y.1
  • 12
    • 24644441054 scopus 로고    scopus 로고
    • Level Set Evolution without Re-Initialization: A New Variational Formulation
    • June
    • C. Li et al., "Level Set Evolution without Re-Initialization: A New Variational Formulation," CVPR, 2005, vol. 1, pp. 430-436, June, 2005.
    • (2005) CVPR , vol.1 , pp. 430-436
    • Li, C.1
  • 13
    • 0030733358 scopus 로고    scopus 로고
    • Automatic target detection and recognition in multiband imagery: A unified ML detection and estimation approach
    • January
    • X. Lu, L.E. Hoff, I.S. Reed, M. Chen, and L.B. Stotts, "Automatic target detection and recognition in multiband imagery: A unified ML detection and estimation approach," IEEE Trans. Image Processing, vol. 6, pp. 143-156, January, 1997.
    • (1997) IEEE Trans. Image Processing , vol.6 , pp. 143-156
    • Lu, X.1    Hoff, L.E.2    Reed, I.S.3    Chen, M.4    Stotts, L.B.5
  • 15
    • 44749084234 scopus 로고
    • Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi equations
    • S. Osher and J. Sethian, "Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi equations", Journal of Computational Physics, vol. 79, pp. 12-49, 1988.
    • (1988) Journal of Computational Physics , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.2
  • 16
    • 0026899931 scopus 로고
    • Segmentation of Polarimetric Synthetic Aperture Radar Data
    • E. Rignot and R. Chellappa, "Segmentation of Polarimetric Synthetic Aperture Radar Data," IEEE Trans. Image Processing, Vol. 1, pp. 281-300, 1992.
    • (1992) IEEE Trans. Image Processing , vol.1 , pp. 281-300
    • Rignot, E.1    Chellappa, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.