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Volumn 54, Issue 8, 2016, Pages 4594-4604

A Generalized Metaphor of Chinese Restaurant Franchise to Fusing Both Panchromatic and Multispectral Images for Unsupervised Classification

Author keywords

Chinese restaurant process; image fusion; object based image analysis; Unsupervised classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE FUSION; IMAGE PROCESSING; IMAGE SEGMENTATION; ITERATIVE METHODS; RANDOM PROCESSES; SEMANTICS; STOCHASTIC SYSTEMS;

EID: 84992292121     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2545927     Document Type: Article
Times cited : (24)

References (39)
  • 1
    • 0027334035 scopus 로고
    • Resolution enhancement of multispectral image data to improve classification accuracy
    • Jan.
    • C. K. Munechika, J. S. Warnick, C. Salvaggio, "Resolution enhancement of multispectral image data to improve classification accuracy," Photogramm. Eng. Remote Sens., vol. 59, no. 1, pp. 67-72, Jan. 1993.
    • (1993) Photogramm. Eng. Remote Sens. , vol.59 , Issue.1 , pp. 67-72
    • Munechika, C.K.1    Warnick, J.S.2    Salvaggio, C.3
  • 2
    • 0442283018 scopus 로고    scopus 로고
    • Government programs for research and operational uses of commercial remote sensing data
    • Jun.
    • R. J. Birk et al., "Government programs for research and operational uses of commercial remote sensing data," Remote Sens. Environ., vol. 88, no. 1/2, pp. 3-16, Jun. 2003.
    • (2003) Remote Sens. Environ. , vol.88 , Issue.1-2 , pp. 3-16
    • Birk, R.J.1
  • 3
    • 0142009649 scopus 로고    scopus 로고
    • A hierarchical fuzzy classification approach for high-resolution MS data over urban areas
    • Sep.
    • A. K. Shackelford and C. H. Davis, "A hierarchical fuzzy classification approach for high-resolution MS data over urban areas," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 1920-1932, Sep. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.9 , pp. 1920-1932
    • Shackelford, A.K.1    Davis, C.H.2
  • 4
    • 0033684988 scopus 로고    scopus 로고
    • Classification of the Italian Liras using the LVQ method
    • Jul.
    • T. Kosaka and S. Omatu, "Classification of the Italian Liras using the LVQ method," in Proc. Int. Joint Conf. Neural Netw., Jul. 2000, vol. 3, pp. 1438.
    • (2000) Proc. Int. Joint Conf. Neural Netw , vol.3 , pp. 1438
    • Kosaka, T.1    Omatu, S.2
  • 5
    • 67650566426 scopus 로고    scopus 로고
    • Object-and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery
    • Jun.
    • L. L. Castillejo-González et al., "Object-and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery," Comput. Electron. Agric., vol. 68, no. 2, pp. 207-215, Jun. 2009.
    • (2009) Comput. Electron. Agric. , vol.68 , Issue.2 , pp. 207-215
    • Castillejo-González, L.L.1
  • 6
    • 82055172125 scopus 로고    scopus 로고
    • Super-resolution mapping using Hopfield neural network with PAN imagery
    • Feb.
    • Q. M. Nguyen, M. A. Peter, G. L. Hugh, "Super-resolution mapping using Hopfield neural network with PAN imagery," Int. J. Remote Sens., vol. 32, no. 21, pp. 6149-6176, Feb. 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.21 , pp. 6149-6176
    • Nguyen, Q.M.1    Peter, M.A.2    Hugh, G.L.3
  • 7
    • 53349108926 scopus 로고    scopus 로고
    • Unsupervised subpixelic classification using coarse-resolution time series and structural information
    • Jun.
    • A. Robin, S. L. Hegarat-Mascle, L. Moisan, "Unsupervised subpixelic classification using coarse-resolution time series and structural information," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1359-1374, Jun. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.5 , pp. 1359-1374
    • Robin, A.1    Hegarat-Mascle, S.L.2    Moisan, L.3
  • 8
    • 0043015539 scopus 로고    scopus 로고
    • Nonlinear principal component analysisbased on principal curves and neural networks
    • Jan.
    • D. Dong and T. J. McAvoy, "Nonlinear principal component analysisbased on principal curves and neural networks," Comput. Chem. Eng., vol. 20, no. 1, pp. 65-78, Jan. 1996.
    • (1996) Comput. Chem. Eng. , vol.20 , Issue.1 , pp. 65-78
    • Dong, D.1    McAvoy, T.J.2
  • 9
    • 0030705856 scopus 로고    scopus 로고
    • Multiresolution sampling procedure for analysis and synthesis of texture images
    • J. de Bonet, "Multiresolution sampling procedure for analysis and synthesis of texture images," in Proc. 24th Annu. Conf. Comput. Graph. Interactive Techn., 1997, pp. 361-368.
    • (1997) Proc. 24th Annu. Conf. Comput. Graph. Interactive Techn. , pp. 361-368
    • De Bonet, J.1
  • 10
    • 80052926580 scopus 로고
    • Algorithm AS 79: Gram-Schmidt regression
    • R. W. Farebrother, "Algorithm AS 79: Gram-Schmidt regression," Appl. Statist., vol. 23, no. 3, pp. 470-476, 1974.
    • (1974) Appl. Statist. , vol.23 , Issue.3 , pp. 470-476
    • Farebrother, R.W.1
  • 11
    • 0022267174 scopus 로고
    • Integration of SPOT panchromatic channel into multispectral channel for image sharpness enhancement
    • Nov.
    • G. Cliché, F. Bonn, P. Teillet, "Integration of SPOT panchromatic channel into multispectral channel for image sharpness enhancement," Photogramm. Eng. Remote Sens., vol. 51, no. 3, pp. 311-316, Nov. 1985.
    • (1985) Photogramm. Eng. Remote Sens. , vol.51 , Issue.3 , pp. 311-316
    • Cliché, G.1    Bonn, F.2    Teillet, P.3
  • 13
    • 4143134291 scopus 로고    scopus 로고
    • Understanding image fusion
    • Nov.
    • Y. Zhang, "Understanding image fusion," Photogramm. Eng. Remote Sens., vol. 70, no. 6, pp. 657-661, Nov. 2004.
    • (2004) Photogramm. Eng. Remote Sens. , vol.70 , Issue.6 , pp. 657-661
    • Zhang, Y.1
  • 15
    • 75449087192 scopus 로고    scopus 로고
    • Analysis of the effects of pansharpening in change detection on VHR images
    • Sep.
    • F. Bovolo et al., "Analysis of the effects of pansharpening in change detection on VHR images," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 53-57, Sep. 2010.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , Issue.1 , pp. 53-57
    • Bovolo, F.1
  • 16
    • 33751417628 scopus 로고    scopus 로고
    • Can multiresolution fusion techniques improve classification accuracy?
    • Sep.
    • L. Bruzzon et al., "Can multiresolution fusion techniques improve classification accuracy?" in Proc. SPIE, Image Signal Process. Remote Sens. XII, Sep. 2006, vol. 6365, pp. 1-11, DOI: 10.1117/12.691208.
    • (2006) Proc. SPIE, Image Signal Process. Remote Sens. XII , vol.6365 , pp. 1-11
    • Bruzzon, L.1
  • 18
    • 85001199214 scopus 로고    scopus 로고
    • Image smoothing of MS imagery based on the HNN and geo-statistics
    • Nov.
    • M. Q. Nguyen, "Image smoothing of MS imagery based on the HNN and geo-statistics," J. Remote Sens., vol. 15, no. 3, pp. 640-644, Nov. 2011.
    • (2011) J. Remote Sens. , vol.15 , Issue.3 , pp. 640-644
    • Nguyen, M.Q.1
  • 19
    • 33244458725 scopus 로고    scopus 로고
    • Super resolution mapping using a Hopfield neural network with fused images
    • Feb.
    • M. Q. Nguyen, P. M. Atkinson, H. G. Lewis, "Super resolution mapping using a Hopfield neural network with fused images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 3, pp. 736-749, Feb. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.3 , pp. 736-749
    • Nguyen, M.Q.1    Atkinson, P.M.2    Lewis, H.G.3
  • 20
    • 27744476020 scopus 로고    scopus 로고
    • Superresolution mapping using a Hopfield neural network with LIDAR data
    • Jul.
    • M. Q. Nguyen, P. M. Atkinson, H. G. Lewis, "Superresolution mapping using a Hopfield neural network with LIDAR data," IEEE Geosci. Remote Sens. Lett., vol. 2, no. 3, pp. 366-370, Jul. 2003.
    • (2003) IEEE Geosci. Remote Sens. Lett. , vol.2 , Issue.3 , pp. 366-370
    • Nguyen, M.Q.1    Atkinson, P.M.2    Lewis, H.G.3
  • 21
    • 77957718304 scopus 로고    scopus 로고
    • Super-resolution landcover mapping using multiple sub-pixel shifted remotely sensed images
    • Oct.
    • F. Ling, Y. Du, F. Xiao, H. Xuea, S. Wua, "Super-resolution landcover mapping using multiple sub-pixel shifted remotely sensed images," Int. J. Remote Sens., vol. 31, no. 19, pp. 5023-5040, Oct. 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.19 , pp. 5023-5040
    • Ling, F.1    Du, Y.2    Xiao, F.3    Xuea, H.4    Wua, S.5
  • 22
    • 0034161353 scopus 로고    scopus 로고
    • Evaluation of two applications of spectral mixing models to image fusion
    • Mar.
    • G. D. Robinson, H. N. Gross, J. R. Schott, "Evaluation of two applications of spectral mixing models to image fusion," Remote Sens. Environ., vol. 71, no. 3, pp. 272-281, Mar. 2000.
    • (2000) Remote Sens. Environ. , vol.71 , Issue.3 , pp. 272-281
    • Robinson, G.D.1    Gross, H.N.2    Schott, J.R.3
  • 23
    • 33749249312 scopus 로고    scopus 로고
    • Hierarchical Dirichlet processes
    • Dec.
    • J.W. Teh,M. I. Jordan,M. J. Beal, "Hierarchical Dirichlet processes," J. Amer. Statist. Assoc., vol. 101, no. 476, pp. 1566-1581, Dec. 2006.
    • (2006) J. Amer. Statist. Assoc. , vol.101 , Issue.476 , pp. 1566-1581
    • Teh, J.W.1    Jordan, M.I.2    Beal, M.J.3
  • 24
    • 84874649073 scopus 로고    scopus 로고
    • A multiscale latent Dirichlet allocation model for objectoriented clustering of VHR panchromatic satellite images
    • Mar.
    • H. Tang et al., "A multiscale latent Dirichlet allocation model for objectoriented clustering of VHR panchromatic satellite images," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 3, pp. 1680-1692, Mar. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.3 , pp. 1680-1692
    • Tang, H.1
  • 25
    • 85027924730 scopus 로고    scopus 로고
    • Object-based unsupervised classification of VHR panchromatic satellite images by combining the HDP and IBP on multiple scenes
    • Nov.
    • Y. Shu et al., "Object-based unsupervised classification of VHR panchromatic satellite images by combining the HDP and IBP on multiple scenes," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 11, pp. 6148-6162, Nov. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.11 , pp. 6148-6162
    • Shu, Y.1
  • 26
    • 85027933673 scopus 로고    scopus 로고
    • Unsupervised detection of earthquake-triggered roof-holes from UAV images using joint color and shape features
    • Sep.
    • S. Li et al., "Unsupervised detection of earthquake-triggered roof-holes from UAV images using joint color and shape features," IEEE Geosci. Remote Sens. Lett., vol. 44, no. 3, pp. 1823-1827, Sep. 2015.
    • (2015) IEEE Geosci. Remote Sens. Lett. , vol.44 , Issue.3 , pp. 1823-1827
    • Li, S.1
  • 27
    • 84869186087 scopus 로고    scopus 로고
    • MedLDA: Maximum margin supervised topic models
    • Jan.
    • J. Zhu, A. Ahmed, E. P. Xing, "MedLDA: Maximum margin supervised topic models," J. Mach. Learn. Res., vol. 13, no. 1, pp. 2237-2278, Jan. 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , Issue.1 , pp. 2237-2278
    • Zhu, J.1    Ahmed, A.2    Xing, E.P.3
  • 31
    • 34948814611 scopus 로고    scopus 로고
    • Region classification with Markov field aspect models
    • Minneapolis, MN, USA, Jun. 17-22
    • J. Verbeek and B. Triggs, "Region classification with Markov field aspect models," in Proc. IEEE Comput. Vis. Pattern Recog., Minneapolis, MN, USA, Jun. 17-22, 2007, pp. 1-8.
    • (2007) Proc IEEE Comput. Vis. Pattern Recog. , pp. 1-8
    • Verbeek, J.1    Triggs, B.2
  • 33
    • 45849122519 scopus 로고    scopus 로고
    • Automatic detection of geospatial objects using multiple hierarchical segmentations
    • Jul.
    • H. G. Akcay and S. Aksoy. "Automatic detection of geospatial objects using multiple hierarchical segmentations," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2097-2111, Jul. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.7 , pp. 2097-2111
    • Akcay, H.G.1    Aksoy, S.2
  • 34
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • Jul.
    • R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-46, Jul. 1991.
    • (1991) Remote Sens. Environ. , vol.37 , Issue.1 , pp. 35-46
    • Congalton, R.G.1
  • 35
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Apr.
    • C. C. Chang and C. J. Lin, "LIBSVM: A library for support vector machines," ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, pp. 1-39, Apr. 2011.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 1-39
    • Chang, C.C.1    Lin, C.J.2
  • 36
    • 79952129745 scopus 로고    scopus 로고
    • Rethinking LDA: Why priors matter
    • Vancouver, BC, Canada Dec. 7-9
    • H. M. Wallach, D. Mimno, A. McCallum, "Rethinking LDA: Why priors matter," in Proc. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 7-9, 2009, pp. 1973-1981.
    • (2009) Proc. Neural Inf. Process. Syst. , pp. 1973-1981
    • Wallach, H.M.1    Mimno, D.2    McCallum, A.3
  • 37
    • 84948798463 scopus 로고    scopus 로고
    • Object-oriented semisupervised classification of VHR images by combining MedLDA and a bilateral filter
    • S. He, H. Tang, J. Li, Y. Shu, L. Shen, "Object-oriented semisupervised classification of VHR images by combining MedLDA and a bilateral filter," Math. Problem Eng., vol. 2015, 2015, Art. no. 182439, DOI: 10.1155/2015/182439.
    • (2015) Math. Problem Eng. , vol.2015
    • He, S.1    Tang, H.2    Li, J.3    Shu, Y.4    Shen, L.5
  • 38
    • 80053537814 scopus 로고    scopus 로고
    • Distance dependent Chinese restaurant processes
    • Oct.
    • D. M. Blei and P. I. Frazier, "Distance dependent Chinese restaurant processes," J. Mach. Learn. Res., vol. 12, no. 8, pp. 2461-2488, Oct. 2011.
    • (2011) J. Mach. Learn. Res. , vol.12 , Issue.8 , pp. 2461-2488
    • Blei, D.M.1    Frazier, P.I.2
  • 39
    • 85162542038 scopus 로고    scopus 로고
    • Spatial distance dependent Chinese restaurant processes for image segmentation
    • S. Ghosh, A. B. Ungureanu, E. B. Sudderth, "Spatial distance dependent Chinese restaurant processes for image segmentation," in Proc. Adv. Neural Inf. Process. Syst., 2011, pp. 1476-1484.
    • (2011) Proc. Adv. Neural Inf. Process. Syst. , pp. 1476-1484
    • Ghosh, S.1    Ungureanu, A.B.2    Sudderth, E.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.