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Volumn 41, Issue 10 PART I, 2003, Pages 2316-2319

A Markov random field-based approach to decision-level fusion for remote sensing image classification

Author keywords

Data fusion; Image segmentation; Supervised classification; Voting method

Indexed keywords

ALGORITHMS; DECISION THEORY; IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM PRINCIPLE; OPTIMAL CONTROL SYSTEMS; SENSOR DATA FUSION; VECTORS;

EID: 0242323688     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2003.816648     Document Type: Article
Times cited : (36)

References (8)
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  • 4
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    • The Institute of Statist. Math., Tokyo, Japan, Res. Memo.
    • R. Nishii and S. Eguchi, "Image segmentation by structural Markov random fields based on Jeffreys divergence," The Institute of Statist. Math., Tokyo, Japan, Res. Memo., vol. 849, 2002.
    • (2002) , vol.849
    • Nishii, R.1    Eguchi, S.2
  • 5
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  • 6
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    • Spatial discriminant analysis based on power-elliptic distributions
    • R. Nishii and Y. Morisaki, "Spatial discriminant analysis based on power-elliptic distributions," Proc. IGARSS, pp. 1-3, 2001.
    • (2001) Proc. IGARSS , pp. 1-3
    • Nishii, R.1    Morisaki, Y.2
  • 7
    • 0034072495 scopus 로고    scopus 로고
    • Combination of neural and statistical algorithms for supervised classification of remote-sensing images
    • G. Giacinto, F. Roli, and L. Bruzzone, "Combination of neural and statistical algorithms for supervised classification of remote-sensing images," Patt. Recognit. Lett., vol. 21, pp. 385-397, 2000.
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    • Giacinto, G.1    Roli, F.2    Bruzzone, L.3
  • 8
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    • Accuracy and inaccuracy assessments in land-cover classification
    • Jan.
    • R. Nishii and S. Tanaka, "Accuracy and inaccuracy assessments in land-cover classification," IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 491-498, Jan. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sensing , vol.37 , pp. 491-498
    • Nishii, R.1    Tanaka, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.