메뉴 건너뛰기




Volumn , Issue , 2012, Pages 5422-5425

Support Vector Machine and Bhattacharrya kernel function for region based classification

Author keywords

Bhattacharyya kernel function; Region based classification; stochastic distances; Support Vector Machine

Indexed keywords

CLASSIFICATION RESULTS; HIGH RESOLUTION; IKONOS IMAGES; KERNEL FUNCTION; MINIMUM DISTANCE CLASSIFIERS; REGION-BASED; REGION-BASED METHODS; SPECTRAL INFORMATION; STOCHASTIC DISTANCES; STRONG HETEROGENEITIES;

EID: 84873155798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6352380     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 2
    • 79955383550 scopus 로고    scopus 로고
    • Assessing object-based classification: Advantages and limitations
    • D. Liu and F. Xia, "Assessing object-based classification: advantages and limitations," Remote Sensing Letters, vol. 1, no. 4, pp. 187-194, 2010.
    • (2010) Remote Sensing Letters , vol.1 , Issue.4 , pp. 187-194
    • Liu, D.1    Xia, F.2
  • 3
    • 1642528357 scopus 로고    scopus 로고
    • Object-based classification of remote sensing data for change detection
    • V. Walter, "Object-based classification of remote sensing data for change detection," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 58, no. 3-4, pp. 225-238, 2004.
    • (2004) ISPRS Journal of Photogrammetry and Remote Sensing , vol.58 , Issue.3-4 , pp. 225-238
    • Walter, V.1
  • 6
    • 0001586977 scopus 로고
    • On the applications of divergence type measures in testing statistical hypotheses
    • M. Salicru, D. Morales, M. L. Menendez, and L. Pardo, "On the applications of divergence type measures in testing statistical hypotheses," Journal of Multivariate Analysis, vol. 51, no. 2, pp. 372-391, 1994.
    • (1994) Journal of Multivariate Analysis , vol.51 , Issue.2 , pp. 372-391
    • Salicru, M.1    Morales, D.2    Menendez, M.L.3    Pardo, L.4
  • 9
    • 33845258041 scopus 로고    scopus 로고
    • Learning with kernels: Support vector machines, regularization, optimization, and beyond
    • MIT Press
    • B. Schölkopf and A. J. Smola, Learning with kernels: support vector machines, regularization, optimization, and beyond, Adaptive computation and machine learning. MIT Press, 2002.
    • (2002) Adaptive Computation and Machine Learning
    • Schölkopf, B.1    Smola, A.J.2
  • 11
    • 70449602709 scopus 로고    scopus 로고
    • Application of Bhattacharyya kernel-based centroid neural network to the classification of audio signals
    • J. Y. Kim and D. C. Park, "Application of Bhattacharyya kernel-based centroid neural network to the classification of audio signals," in International Joint Conference on Neural Networks, 2009, pp. 2948-2952.
    • (2009) International Joint Conference on Neural Networks , pp. 2948-2952
    • Kim, J.Y.1    Park, D.C.2
  • 12
  • 13
    • 0003626435 scopus 로고    scopus 로고
    • Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA
    • R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 2001.
    • (2001) Digital Image Processing
    • Gonzalez, R.C.1    Woods, R.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.