메뉴 건너뛰기




Volumn 49, Issue 1 PART 2, 2011, Pages 388-394

Hierarchical hybrid decision tree fusion of multiple hyperspectral data processing chains

Author keywords

Classification; decision fusion; hyperspectral remote sensing

Indexed keywords

ACCURACY LEVEL; CLASSIFICATION; COMBINATION PROCESS; DATA SETS; DECISION FUSION; HIERARCHICAL DATA PROCESSING; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING; INFORMATION SOURCES; LAND COVER; NOVEL METHODOLOGY; PROCESSING ALGORITHMS; PROCESSING CHAIN; REMOTELY SENSED DATA; VEGETATION MAPPING;

EID: 78650860354     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2051554     Document Type: Article
Times cited : (41)

References (24)
  • 4
    • 55649122577 scopus 로고    scopus 로고
    • Limitations of principal components analysis for hyperspectral target recognition
    • Oct.
    • S. Prasad and L. M. Bruce, "Limitations of principal components analysis for hyperspectral target recognition," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 4, pp. 625-629, Oct. 2008.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.4 , pp. 625-629
    • Prasad, S.1    Bruce, L.M.2
  • 5
    • 72049131572 scopus 로고    scopus 로고
    • On the reliability of PCA for complex hyperspectral data
    • Grenoble, France, Aug.
    • P. Bajorski, "On the reliability of PCA for complex hyperspectral data," in Proc. IEEE GRSS WHISPERS, Grenoble, France, Aug. 2009, pp. 1-5.
    • (2009) Proc. IEEE GRSS WHISPERS , pp. 1-5
    • Bajorski, P.1
  • 6
    • 84871107572 scopus 로고
    • An optimization approach to hierarchical classifier design
    • San Diego, CA
    • A. V. Kulkarni and L. N. Kanal, "An optimization approach to hierarchical classifier design," in Proc. 3rd Int. Joint Conf. Pattern Recog., San Diego, CA, 1976, vol. 17, pp. 359-369.
    • (1976) Proc. 3rd Int. Joint Conf. Pattern Recog , vol.17 , pp. 359-369
    • Kulkarni, A.V.1    Kanal, L.N.2
  • 7
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Jan.
    • G. F. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. IT-14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inf. Theory , vol.IT-14 , Issue.1 , pp. 55-63
    • Hughes, G.F.1
  • 8
    • 78650865540 scopus 로고    scopus 로고
    • Potential of hyperspectral remote sensing for vegetation mapping in high mountain ecosystems
    • Tel Aviv, Israel
    • K. Bakos and P. Gamba, "Potential of hyperspectral remote sensing for vegetation mapping in high mountain ecosystems," in Proc. 6th EarSEL SIG IS Workshop, Tel Aviv, Israel, 2009.
    • (2009) Proc. 6th EarSEL SIG IS Workshop
    • Bakos, K.1    Gamba, P.2
  • 11
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Jan.
    • A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
    • (1988) IEEE Trans. Geosci. Remote Sens. , vol.26 , Issue.1 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 12
    • 3042654673 scopus 로고    scopus 로고
    • A relative evaluation of multiclass image classification by support vector machines
    • Jun.
    • G. M. Foody and A. Mathur, "A relative evaluation of multiclass image classification by support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1335-1343, Jun. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.6 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 13
  • 14
    • 0031105739 scopus 로고    scopus 로고
    • Introduction to neural networks in remote sensing
    • Mar.
    • P. M. Atkinson and A. R. L. Tatnall, "Introduction to neural networks in remote sensing," Int. J. Remote Sens., vol. 18, no. 4, pp. 699-709, Mar. 1997.
    • (1997) Int. J. Remote Sens. , vol.18 , Issue.4 , pp. 699-709
    • Atkinson, P.M.1    Tatnall, A.R.L.2
  • 15
    • 0026154509 scopus 로고
    • A survey of decision tree classifier methodology
    • May/Jun.
    • S. R. Safavian and D. Landgrebe, "A survey of decision tree classifier methodology," IEEE Trans. Syst., Man, Cybern., vol. 21, no. 3, pp. 660-674, May/Jun. 1991.
    • (1991) IEEE Trans. Syst., Man, Cybern. , vol.21 , Issue.3 , pp. 660-674
    • Safavian, S.R.1    Landgrebe, D.2
  • 16
    • 0027002165 scopus 로고
    • The attribute selection problem in decision tree generation
    • Amherst, MA
    • U. M. Fayyard and K. B. Irani, "The attribute selection problem in decision tree generation," in Proc. 10th Nat. Conf. Artif. Intell., Amherst, MA, 1992, pp. 104-110.
    • (1992) Proc. 10th Nat. Conf. Artif. Intell , pp. 104-110
    • Fayyard, U.M.1    Irani, K.B.2
  • 18
    • 85118837783 scopus 로고
    • Addressing the selective superiority problem: Automatic algorithm/model class selection
    • Amherst, MA
    • C. E. Brodley, "Addressing the selective superiority problem: Automatic algorithm/model class selection," in Proc. 10th Int. Conf. Mach. Learn., Amherst, MA, 1993, pp. 17-24.
    • (1993) Proc. 10th Int. Conf. Mach. Learn , pp. 17-24
    • Brodley, C.E.1
  • 19
    • 85144600007 scopus 로고
    • Combining instance-based and model-based learning
    • Amherst, MA
    • J. R. Quinlan, "Combining instance-based and model-based learning," in Proc. 10th Int. Conf. Mach. Learn., Amherst, MA, 1993, pp. 236-243.
    • (1993) Proc. 10th Int. Conf. Mach. Learn , pp. 236-243
    • Quinlan, J.R.1
  • 20
    • 0036080105 scopus 로고    scopus 로고
    • Hierarchical fusion of multiple classifiers for hyperspectral data analysis
    • DOI 10.1007/s100440200019
    • S. Kumar, J. Ghosh, andM.M. Crawford, "Hierarchical fusion of multiple classifiers for hyperspectral data analysis," Pattern Anal. Appl., vol. 5, no. 2, pp. 210-220, Jun. 2002. (Pubitemid 40830134)
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 210-220
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 21
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • Jun.
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 23
    • 0035248508 scopus 로고    scopus 로고
    • A new approach for the morphological segmentation of high-resolution satellite imagery
    • Feb.
    • M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.2 , pp. 309-320
    • Pesaresi, M.1    Benediktsson, J.A.2
  • 24
    • 72049126115 scopus 로고    scopus 로고
    • Hyperspectral data classification using an ensemble of class-dependent neural networks
    • Grenoble, France, Aug.
    • P. R. Marpu, P. Gamba, and I. Niemeyer, "Hyperspectral data classification using an ensemble of class-dependent neural networks," in Proc. IEEE GRSS WHISPERS, Grenoble, France, Aug. 2009, pp. 1-4.
    • (2009) Proc. IEEE GRSS WHISPERS , pp. 1-4
    • Marpu, P.R.1    Gamba, P.2    Niemeyer, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.