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Volumn , Issue , 2011, Pages

The research of recognition on oceanic internal waves based on gray gradient co-occurrence matrix and BP neural network

Author keywords

BP neural network; Gray gradient Co occurrence matrix; Oceanic Internal wave; Texture feature

Indexed keywords

BP NEURAL NETWORKS; CO-OCCURRENCE-MATRIX; EIGENVALUES; GRAY GRADIENT CO-OCCURRENCE MATRIX; HIDDEN LAYERS; INPUT VECTOR; INTERNAL WAVES; OUTPUT LAYER; RECOGNITION RATES; REMOTE SENSING IMAGES; SUBGRAPHS; TEXTURE FEATURE; TEXTURE FEATURES;

EID: 79959345654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOPO.2011.5780570     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 1
    • 77954921134 scopus 로고    scopus 로고
    • A novel method on internal wave detection and parameter estimation from SAR images, [J]
    • CHEN Jie, CHEN Biao, XU Su-qin. "A novel method on internal wave detection and parameter estimation from SAR images" [J]. Journal of Image and Graphics, 2009, 14(1):40-44.
    • (2009) Journal of Image and Graphics , vol.14 , Issue.1 , pp. 40-44
    • Chen, J.1    Chen, B.2    Xu, S.-Q.3
  • 3
    • 15844362266 scopus 로고
    • Classification in scale-space: Application to texture analysis, [M]
    • Australia
    • Bradley A, Jackway P, LoveII B. "Classification in scale-space: application to texture analysis" [M]. Proc. of DICTA-95, Australia, 1995.
    • (1995) Proc. of DICTA-95
    • Bradley, A.1    Jackway, P.2    Loveii, B.3
  • 5
    • 10644263328 scopus 로고
    • Texture analysis method based on gray gradient cooccurrence matrix, [J]
    • Hong Jiguang. "Texture analysis method based on gray gradient cooccurrence matrix" [J]. Actaautomatica Sinica. 1984, 10 (1):22-25.
    • (1984) Actaautomatica Sinica , vol.10 , Issue.1 , pp. 22-25
    • Hong, J.1
  • 6
    • 61349200495 scopus 로고    scopus 로고
    • Beijing University of Posts and Telecommunications Press, Beijing, China
    • Han Liqun. "A Course in Artificial neural network" [M]. Beijing University of Posts and Telecommunications Press. Beijing, China, 2008.
    • (2008) A Course in Artificial Neural Network, [M]
    • Han, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.