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Volumn , Issue , 2012, Pages 2221-2224

Automatic fusion of region-based classifiers for coffee crop recognition

Author keywords

coffee crops; fusion of classifiers; Support vector machines (SVMs)

Indexed keywords

AUTOMATIC FUSION; BASE CLASSIFIERS; COMPLEX TASK; CROP RECOGNITION; EFFECTIVE MECHANISMS; FUSION OF CLASSIFIERS; IMAGE DESCRIPTORS; LEARNING METHODS; MAJORITY VOTING; METALEARNING; REGION-BASED; REMOTE SENSING IMAGES; SPECTRAL RESPONSE; SUPPORT VECTOR MACHINE TECHNIQUES; TEXTURE PATTERNS;

EID: 84873134643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6351058     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • R. Pisani, P. Riedel, A. Gomes, R. Mizobe, and J. Papa, "Is it possible to make pixel-based radar image classification user-friendly?," in IEEE IGARSS, 2011.
    • (2011) IEEE IGARSS
    • Pisani, R.1    Riedel, P.2    Gomes, A.3    Mizobe, R.4    Papa, J.5
  • 2
    • 84873196782 scopus 로고    scopus 로고
    • Multitemporal regionbased classification of high-resolution images by markov random fields and multiscale segmentation
    • G. Moser and S.B. Serpico, "Multitemporal regionbased classification of high-resolution images by markov random fields and multiscale segmentation," in IEEE IGARSS, 2011.
    • (2011) IEEE IGARSS
    • Moser, G.1    Serpico, S.B.2
  • 5
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
    • Soe W. Myint, Patricia Gober, Anthony Brazel, Susanne Grossman-Clarke, and Qihao Weng, "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sensing of Environment, 2011.
    • (2011) Remote Sensing of Environment
    • Myint, S.W.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 6
    • 77956303734 scopus 로고    scopus 로고
    • Evaluating the potential of texture and color descriptors for remote sensing image retrieval and classification
    • J. A. dos Santos, O. A. B. Penatti, and R. da S. Torres, "Evaluating the potential of texture and color descriptors for remote sensing image retrieval and classification," in VISAPP, 2010.
    • (2010) VISAPP
    • Dos Santos, J.A.1    Penatti, O.A.B.2    Da Torres, R.S.3
  • 12
    • 0001144116 scopus 로고
    • Tau coefficients for accuracy assessment of classification of remote sensing data
    • Z. Ma and R. L. Redmond, "Tau coefficients for accuracy assessment of classification of remote sensing data.," Photogrametric Engineering and Remote Sensing, 1995.
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    • Ma, Z.1    Redmond, R.L.2
  • 13
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. I. Kuncheva and C. J. Whitaker, "Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy," Machine Learning, 2003.
    • (2003) Machine Learning
    • Kuncheva, L.I.1    Whitaker, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.