메뉴 건너뛰기




Volumn 5, Issue 3, 2014, Pages 196-209

A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data

Author keywords

hyperspectral data; LIDAR data; multi sensor fusion; support vector machine

Indexed keywords


EID: 84902980137     PISSN: 19479832     EISSN: 19479824     Source Type: Journal    
DOI: 10.1080/19479832.2014.919964     Document Type: Article
Times cited : (40)

References (33)
  • 1
    • 0032635034 scopus 로고    scopus 로고
    • Classification of multisource and hyperspectral data based on decision fusion
    • Benediktsson, J.A. and Kanellopoulos, I., 1999. Classification of multisource and hyperspectral data based on decision fusion. IEEE Transactions on Geoscience and Remote Sensing, 37 (3), 1367-1377. doi:10.1109/36.763301.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.3 , pp. 1367-1377
    • Benediktsson, J.A.1    Kanellopoulos, I.2
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C.J.C., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2 (2), 121-167. doi:10.1023/A:1009715923555.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 4
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas
    • Dalponte, M., Bruzzone, L., and Gianelle, D., 2008. Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas. IEEE Transactions on Geoscience and Remote Sensing, 46 (5), 1416-1427. doi:10.1109/TGRS.2008.916480.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 5
    • 70350397276 scopus 로고    scopus 로고
    • Advances in multi-sensor data fusion: algorithms and applications
    • Dong, J., et al., 2009. Advances in multi-sensor data fusion: algorithms and applications. Journal of Sensors, 9 (10), 7771-7784. doi:10.3390/s91007771.
    • (2009) Journal of Sensors , vol.9 , Issue.10 , pp. 7771-7784
    • Dong, J.1
  • 6
    • 84867335433 scopus 로고    scopus 로고
    • Information fusion techniques for change detection from multi-temporal remote sensing images
    • Du, P., et al., 2013. Information fusion techniques for change detection from multi-temporal remote sensing images. Information Fusion, 14 (1), 19-27. doi:10.1016/j.inffus.2012.05.003.
    • (2013) Information Fusion , vol.14 , Issue.1 , pp. 19-27
    • Du, P.1
  • 9
    • 36049002334 scopus 로고    scopus 로고
    • Multisensor fusion with hyperspectral imaging data detection and classification
    • Hsu, S. and Burke, H., 2003. Multisensor fusion with hyperspectral imaging data detection and classification. Lincoln Laboratory Journal, 14 (1), 145-159.
    • (2003) Lincoln Laboratory Journal , vol.14 , Issue.1 , pp. 145-159
    • Hsu, S.1    Burke, H.2
  • 10
    • 0027804408 scopus 로고
    • Behavior-knowledge space method for combination of multiple classifiers
    • Proceedings of IEEE computer vision and pattern recognition, New York, NY,: IEEE
    • Huang, Y.S. and Suen, C.Y., 1993. Behavior-knowledge space method for combination of multiple classifiers. In: Proceedings of IEEE computer vision and pattern recognition. New York, NY: IEEE, 347-352.
    • (1993) , pp. 347-352
    • Huang, Y.S.1    Suen, C.Y.2
  • 11
    • 0029230267 scopus 로고
    • A method of combining multiple experts for the recognition of unconstrained handwritten numerals
    • Huang, Y.S. and Suen, C.Y., 1995. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (1), 90-94. doi:10.1109/34.368145.
    • (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , Issue.1 , pp. 90-94
    • Huang, Y.S.1    Suen, C.Y.2
  • 13
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: an experimental comparison
    • Kuncheva, L.I., Bezdek, J.C., and Duin, R., 2001. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition, 34 (2), 299-314. doi:10.1016/S0031-3203(99)00223-X.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.3
  • 14
    • 0031238275 scopus 로고    scopus 로고
    • Application of majority voting to pattern recognition: an analysis of its behavior and performance
    • Lam, L. and Suen, S.Y., 1997. Application of majority voting to pattern recognition: an analysis of its behavior and performance. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 27 (5), 553-568. doi:10.1109/3468.618255.
    • (1997) IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans , vol.27 , Issue.5 , pp. 553-568
    • Lam, L.1    Suen, S.Y.2
  • 15
    • 0038667775 scopus 로고    scopus 로고
    • Performance analysis of pattern classifier combination by plurality voting
    • Lin, X., et al., 2003. Performance analysis of pattern classifier combination by plurality voting. Pattern Recognition Letters, 24, 1959-1969. doi:10.1016/S0167-8655(03)00035-7.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 1959-1969
    • Lin, X.1
  • 16
    • 35148838877 scopus 로고
    • The weighted majority algorithm
    • Littlestone, N. and Warmuth, M., 1994. The weighted majority algorithm. Information and Computation, 108, 212-261. doi:10.1006/inco.1994.1009.
    • (1994) Information and Computation , vol.108 , pp. 212-261
    • Littlestone, N.1    Warmuth, M.2
  • 17
    • 9244242588 scopus 로고    scopus 로고
    • The design of a multi-agent transformer condition monitoring system
    • McArthur, S.D.J., Strachan, S.M., and Jahn, G., 2004. The design of a multi-agent transformer condition monitoring system. IEEE Transactions on Power Systems, 19 (4), 1845-1852. doi:10.1109/TPWRS.2004.835667.
    • (2004) IEEE Transactions on Power Systems , vol.19 , Issue.4 , pp. 1845-1852
    • McArthur, S.D.J.1    Strachan, S.M.2    Jahn, G.3
  • 18
    • 0035337273 scopus 로고    scopus 로고
    • Application of Dempster-Shafer theory in condition monitoring applications: a case study
    • Parikh, C.R., Pont, M.J., and Jones, N.B., 2001. Application of Dempster-Shafer theory in condition monitoring applications: a case study. Pattern Recognition Letters, 22, 777-785. doi:10.1016/S0167-8655(01)00014-9.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 777-785
    • Parikh, C.R.1    Pont, M.J.2    Jones, N.B.3
  • 19
    • 0037648799 scopus 로고    scopus 로고
    • Improving the performance of CMFD applications using multiple classifiers and a fusion framework
    • Parikh, C.R., et al., 2003. Improving the performance of CMFD applications using multiple classifiers and a fusion framework. Transactions of the Institute of Measurement and Control, 25 (2), 123-144. doi:10.1191/0142331203tm080oa.
    • (2003) Transactions of the Institute of Measurement and Control , vol.25 , Issue.2 , pp. 123-144
    • Parikh, C.R.1
  • 20
    • 0032030026 scopus 로고    scopus 로고
    • Review article multisensor image fusion in remote sensing: concepts, methods and applications
    • Pohl, C. and Van Genderen, J., 1998. Review article multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing, 19 (5), 823-854. doi:10.1080/014311698215748.
    • (1998) International Journal of Remote Sensing , vol.19 , Issue.5 , pp. 823-854
    • Pohl, C.1    Van Genderen, J.2
  • 21
    • 84947791171 scopus 로고    scopus 로고
    • Multiple classifier combination for character recognition: revisiting the majority voting system and its variations
    • IAPR workshop on document analysis systems, August, Berlin,: Springer
    • Rahman, A.F.R., Alam, H., and Fairhurst, M.C., 2002. Multiple classifier combination for character recognition: revisiting the majority voting system and its variations. In: IAPR workshop on document analysis systems, Vol. 2423, August 2002 Princeton, NJ. Berlin: Springer, 167-178.
    • (2002) , pp. 167-178
    • Rahman, A.F.R.1    Alam, H.2    Fairhurst, M.C.3
  • 22
    • 84949214119 scopus 로고    scopus 로고
    • Decision combination of multiple classifiers for pattern classification: hybridisation of majority voting and divide and conquer techniques
    • 5th IEEE workshop on applications of computer vision
    • Rahman, A.F.R. and Fairhurst, M. 2000. Decision combination of multiple classifiers for pattern classification: hybridisation of majority voting and divide and conquer techniques. In: 5th IEEE workshop on applications of computer vision, WACV 2000, 4-6 December 2000. Palm Springs, CA, 58-63.
    • (2000) , pp. 58-63
    • Rahman, A.F.R.1    Fairhurst, M.2
  • 23
    • 0005946314 scopus 로고    scopus 로고
    • An overview of classifier fusion methods
    • Ruta, D. and Gabrys, B., 2000. An overview of classifier fusion methods. Computation Information. System, 7 (1), 1-10.
    • (2000) Computation Information. System , vol.7 , Issue.1 , pp. 1-10
    • Ruta, D.1    Gabrys, B.2
  • 25
    • 0036495833 scopus 로고    scopus 로고
    • Image fusion techniques for remote sensing applications
    • Simone, G., et al., 2002. Image fusion techniques for remote sensing applications. Information Fusion, 3 (1), 3-15. doi:10.1016/S1566-2535(01)00056-2.
    • (2002) Information Fusion , vol.3 , Issue.1 , pp. 3-15
    • Simone, G.1
  • 26
    • 80052631826 scopus 로고    scopus 로고
    • Mapping biomass and stress in the Sierra Nevada using LIDAR and hyperspectral data fusion
    • Swatantran, A., et al., 2011. Mapping biomass and stress in the Sierra Nevada using LIDAR and hyperspectral data fusion. Remote Sensing of Environment, 115 (11), 2917-2930. doi:10.1016/j.rse.2010.08.027.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.11 , pp. 2917-2930
    • Swatantran, A.1
  • 28
    • 84901389751 scopus 로고    scopus 로고
    • Evaluation of classifiers for polarimetric SAR classification
    • IEEE international geosciences and remote sensing symposium
    • Uhlmann, S., Kiranyaz, S., and Yildirm, A., 2013. Evaluation of classifiers for polarimetric SAR classification. In: IEEE international geosciences and remote sensing symposium, 21-26 July 2013 Melbourne, Australia.
    • (2013)
    • Uhlmann, S.1    Kiranyaz, S.2    Yildirm, A.3
  • 30
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu, L., Krzyzak, A., and Suen, C.Y., 1992. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man, and Cybernetics, 22 (3), 418-435. doi:10.1109/21.155943.
    • (1992) IEEE Transactions on Systems, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 32
    • 84902983085 scopus 로고    scopus 로고
    • Hybrid generative/discriminative scene classification strategy based on latent Dirichlet allocation for high spatial resolution remote sensing imagery
    • IEEE international geosciences and remote sensing symposium
    • Zhao, B., et al., 2013. Hybrid generative/discriminative scene classification strategy based on latent Dirichlet allocation for high spatial resolution remote sensing imagery. In: IEEE international geosciences and remote sensing symposium, 21-26 July 2013 Melbourne, Australia.
    • (2013)
    • Zhao, B.1
  • 33
    • 9944231918 scopus 로고    scopus 로고
    • A fusion-based clinical decision support for disease diagnosis from endoscopic images
    • Zheng, M.M., Krishnan, S.M., and Tjoa, M.P., 2005. A fusion-based clinical decision support for disease diagnosis from endoscopic images. Computers in Biology and Medicine, 35, 259-274. doi:10.1016/j.compbiomed.2004.01.002.
    • (2005) Computers in Biology and Medicine , vol.35 , pp. 259-274
    • Zheng, M.M.1    Krishnan, S.M.2    Tjoa, M.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.