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Volumn 27, Issue 6, 2015, Pages 1547-1559

Focal-test-based spatial decision tree learning

Author keywords

focal test based spatial decision tree; land cover classification; spatial autocorrelation; spatial data mining

Indexed keywords

AUTOCORRELATION; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; ERRORS; NATURAL RESOURCES MANAGEMENT; TESTING; VIRTUAL REALITY;

EID: 84929456102     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2014.2373383     Document Type: Article
Times cited : (44)

References (34)
  • 3
    • 0344972104 scopus 로고    scopus 로고
    • Decision tree classification of land cover from remotely sensed data
    • M. A. Friedl and C. E. Brodley, "Decision tree classification of land cover from remotely sensed data," Remote Sens. Environ., vol. 61, no. 3, pp. 399-409, 1997.
    • (1997) Remote Sens. Environ. , vol.61 , Issue.3 , pp. 399-409
    • Friedl, M.A.1    Brodley, C.E.2
  • 4
    • 84883234670 scopus 로고    scopus 로고
    • Influence of multisource and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern minnesota
    • J. M. Corcoran, J. F. Knight, and A. L. Gallant, "Influence of multisource and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern minnesota," Remote Sens., vol. 5, no. 7, pp. 3212-3238, 2013.
    • (2013) Remote Sens. , vol.5 , Issue.7 , pp. 3212-3238
    • Corcoran, J.M.1    Knight, J.F.2    Gallant, A.L.3
  • 5
    • 84879512919 scopus 로고    scopus 로고
    • The effects of data selection and thematic detail on the accuracy of high spatial resolution wetland classifications
    • J. F. Knight, B. P. Tolcser, J. M. Corcoran, and L. P. Rampi, "The effects of data selection and thematic detail on the accuracy of high spatial resolution wetland classifications," Photogrammetric Eng. Remote Sens., vol. 79, no. 7, pp. 613-623, 2013.
    • (2013) Photogrammetric Eng. Remote Sens. , vol.79 , Issue.7 , pp. 613-623
    • Knight, J.F.1    Tolcser, B.P.2    Corcoran, J.M.3    Rampi, L.P.4
  • 7
    • 0036400851 scopus 로고    scopus 로고
    • Geospatial data integration for applications in flood prediction and management in the red river basin
    • A. Deschamps, D. Greenlee, T. Pultz, and R. Saper, "Geospatial data integration for applications in flood prediction and management in the red river basin," in Proc. IEEE Int. Geoscience Remote Sens. Symp., 2002, pp. 3338-3340.
    • (2002) Proc. IEEE Int. Geoscience Remote Sens. Symp. , pp. 3338-3340
    • Deschamps, A.1    Greenlee, D.2    Pultz, T.3    Saper, R.4
  • 8
    • 36549078638 scopus 로고    scopus 로고
    • Evolving water management institutions in the red river basin
    • R. Hearne, "Evolving water management institutions in the red river basin," Environ. Manage., vol. 40, no. 6, pp. 842-852, 2007.
    • (2007) Environ. Manage. , vol.40 , Issue.6 , pp. 842-852
    • Hearne, R.1
  • 9
    • 85046340916 scopus 로고    scopus 로고
    • Remote sensing for natural disaster management
    • C. Van Westen, "Remote sensing for natural disaster management," Int. Archives Photogrammetry Remote Sens., vol. 33, no. B7/4; PART 7, pp. 1609-1617, 2000.
    • (2000) Int. Archives Photogrammetry Remote Sens. , vol.33 , Issue.4 B7 , pp. 1609-1617
    • Van Westen, C.1
  • 11
    • 33745118674 scopus 로고    scopus 로고
    • Detection of blue-white veil areas in dermoscopy images using machine learning techniques
    • 445T-1
    • M. Celebi, H. Kingravi, Y. Aslandogan, and W. Stoecker, "Detection of blue-white veil areas in dermoscopy images using machine learning techniques," Proc. SPIE, vol. 6144, 2006, pp. 61 445T-1.
    • (2006) Proc. SPIE , vol.6144 , pp. 61
    • Celebi, M.1    Kingravi, H.2    Aslandogan, Y.3    Stoecker, W.4
  • 12
    • 0035835579 scopus 로고    scopus 로고
    • Ensembles of classifiers for morphological galaxy classification
    • D. Bazell and D. W. Aha, "Ensembles of classifiers for morphological galaxy classification," Astrophysical J., vol. 548, no. 1, p. 219, 2001.
    • (2001) Astrophysical J. , vol.548 , Issue.1 , pp. 219
    • Bazell, D.1    Aha, D.W.2
  • 13
    • 41149178180 scopus 로고    scopus 로고
    • Spatial defect pattern recognition on semiconductor wafers using model-based clustering and Bayesian inference
    • T. Yuan and W. Kuo, "Spatial defect pattern recognition on semiconductor wafers using model-based clustering and Bayesian inference," Eur. J. Oper. Res., vol. 190, no. 1, pp. 228-240, 2008.
    • (2008) Eur. J. Oper. Res. , vol.190 , Issue.1 , pp. 228-240
    • Yuan, T.1    Kuo, W.2
  • 14
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. Quinlan, "Induction of decision trees," Mach. Learn., vol. 1, no. 1, pp. 81-106, 1986.
    • (1986) Mach. Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.1
  • 16
    • 33646010615 scopus 로고    scopus 로고
    • A spatial entropy-based decision tree for classification of geographical information
    • X. Li and C. Claramunt, "A spatial entropy-based decision tree for classification of geographical information," Trans. GIS, vol. 10, no. 3, pp. 451-467, 2006.
    • (2006) Trans. GIS , vol.10 , Issue.3 , pp. 451-467
    • Li, X.1    Claramunt, C.2
  • 20
    • 0029772671 scopus 로고    scopus 로고
    • A markov random field model for classification of multisource satellite imagery
    • Jan.
    • A. H. Solberg, T. Taxt, and A. K. Jain, "A Markov random field model for classification of multisource satellite imagery," IEEE Trans. Geoscience Remote Sens., vol. 34, no. 1, pp. 100-113, Jan. 1996.
    • (1996) IEEE Trans. Geoscience Remote Sens. , vol.34 , Issue.1 , pp. 100-113
    • Solberg, A.H.1    Taxt, T.2    Jain, A.K.3
  • 22
    • 84882888301 scopus 로고    scopus 로고
    • Image noise models
    • 2nd ed., A. C. Bovik, Ed. Orlando, FL, USA: Academic, ch. 4.5
    • C. Boncelet, "Image noise models," in Handbook of Image and Video Processing, 2nd ed., A. C. Bovik, Ed. Orlando, FL, USA: Academic, 2005, ch. 4.5.
    • (2005) Handbook of Image and Video Processing
    • Boncelet, C.1
  • 23
    • 0029507498 scopus 로고
    • Local indicators of spatial association-lisa
    • L. Anselin, "Local indicators of spatial association-lisa," Geographical Anal., vol. 27, no. 2, pp. 93-115, 1995.
    • (1995) Geographical Anal. , vol.27 , Issue.2 , pp. 93-115
    • Anselin, L.1
  • 24
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • 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, 1991.
    • (1991) Remote Sens. Environ. , vol.37 , Issue.1 , pp. 35-46
    • Congalton, R.G.1
  • 27
    • 0021477512 scopus 로고
    • The weighted median filter
    • D. Brownrigg, "The weighted median filter," Commun. ACM, vol. 27, no. 8, pp. 807-818, 1984.
    • (1984) Commun. ACM , vol.27 , Issue.8 , pp. 807-818
    • Brownrigg, D.1
  • 28
    • 0029288647 scopus 로고
    • Adaptive median filters: New algorithms and results
    • Apr.
    • H. Hwang and R. A. Haddad, "Adaptive median filters: New algorithms and results," IEEE Trans. Image Process., vol. 4, no. 4, pp. 499-502, Apr. 1995.
    • (1995) IEEE Trans. Image Process. , vol.4 , Issue.4 , pp. 499-502
    • Hwang, H.1    Haddad, R.A.2
  • 29
    • 27744554422 scopus 로고    scopus 로고
    • Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
    • Oct.
    • R. H. Chan, C.-W. Ho, and M. Nikolova, "Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization," IEEE Trans. Image Process., vol. 14, no. 10, pp. 1479-1485, Oct. 2005.
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.10 , pp. 1479-1485
    • Chan, R.H.1    Ho, C.-W.2    Nikolova, M.3
  • 30
    • 85173255499 scopus 로고    scopus 로고
    • Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter
    • May
    • S. Esakkirajan, T. Veerakumar, A. N. Subramanyam, and C. PremChand, "Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter," IEEE Signal Process. Lett., vol. 18, no. 5, pp. 287-290, May 2011.
    • (2011) IEEE Signal Process. Lett. , vol.18 , Issue.5 , pp. 287-290
    • Esakkirajan, S.1    Veerakumar, T.2    Subramanyam, A.N.3    Premchand, C.4
  • 32
    • 67949115614 scopus 로고    scopus 로고
    • Spectral- spatial classification of hyperspectral imagery based on partitional clustering techniques
    • Aug.
    • Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral- spatial classification of hyperspectral imagery based on partitional clustering techniques," IEEE Trans. Geoscience Remote Sens., vol. 47, no. 8, pp. 2973-2987, Aug. 2009.
    • (2009) IEEE Trans. Geoscience Remote Sens. , vol.47 , Issue.8 , pp. 2973-2987
    • Tarabalka, Y.1    Benediktsson, J.A.2    Chanussot, J.3
  • 33
    • 13444283842 scopus 로고    scopus 로고
    • The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery
    • A. Puissant, J. Hirsch, and C.Weber, "The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery," Int. J. Remote Sens., vol. 26, no. 4, pp. 733-745, 2005.
    • (2005) Int. J. Remote Sens. , vol.26 , Issue.4 , pp. 733-745
    • Puissant, A.1    Hirsch, J.2    Weber, C.3
  • 34
    • 85022076596 scopus 로고    scopus 로고
    • Geographic object-based image analysis (geobia): A new name for a new discipline
    • New York, NY, USA: Springer
    • G. Hay and G. Castilla, "Geographic object-based image analysis (geobia): A new name for a new discipline," in Object-Based Image Analysis. New York, NY, USA: Springer, 2008, pp. 75-89.
    • (2008) Object-Based Image Analysis , pp. 75-89
    • Hay, G.1    Castilla, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.