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Volumn 31, Issue 1, 2006, Pages 51-54

Unmixing of hyperspectral imagery based on probabilistic outputs of support vector machines

Author keywords

Hyperspectral imagery; Multi class; Pixel unmixing; Posterior probability; Support vector machine(SVM)

Indexed keywords

IMAGE PROCESSING; PIXEL;

EID: 33644652997     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (11)

References (7)
  • 1
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines[J]
    • Melgani F, Bruzzone L. Classification of Hyperspectral Remote Sensing Images with Support Vector Machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1 778-1 790
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.8
    • Melgani, F.1    Bruzzone, L.2
  • 2
    • 3042654673 scopus 로고    scopus 로고
    • A relative evaluation of multiclass image classification by support vector machines[J]
    • Foody G M, Mathur A. A Relative Evaluation of Multiclass Image Classification by Support Vector Machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(6): 1 335-1 343
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.6
    • Foody, G.M.1    Mathur, A.2
  • 3
    • 0029750642 scopus 로고    scopus 로고
    • Relating the land cover composition of mixed pixels of artificial neural network classification output [J]
    • Foody G M. Relating the Land Cover Composition of Mixed Pixels of Artificial Neural Network Classification Output [J]. Photogrammtry Engineering and Remote Sensing, 1996, 62(5): 491-499
    • (1996) Photogrammtry Engineering and Remote Sensing , vol.62 , Issue.5 , pp. 491-499
    • Foody, G.M.1
  • 4
    • 0344445637 scopus 로고    scopus 로고
    • On the use of prior and posterior information in the subpixel proportion problem[J]
    • Eric D. On the Use of Prior and Posterior Information in the Subpixel Proportion Problem[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(11): 2 687-2 691
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.11
    • Eric, D.1
  • 6
    • 0032355984 scopus 로고    scopus 로고
    • Classification by pairwise coupling[J]
    • Hastie T, Tibshirani R, Classification by Pairwise Coupling[J]. The Annals of Statistics, 1998, 26(1): 51-471
    • (1998) The Annals of Statistics , vol.26 , Issue.1 , pp. 51-471
    • Hastie, T.1    Tibshirani, R.2
  • 7
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory[J]
    • Vapnik V. An Overview of Statistical Learning Theory[J]. IEEE Transactions on Neural Networks, 1999, 10(5): 988-999
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.