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Volumn 5794, Issue PART I, 2005, Pages 370-380

Further improvements in Computer Aided Detection/Computer Aided Classification (CAD/CAC) of bottom mines

Author keywords

Autonomous Underwater Vehicle; Computer Aided Classification; Computer Aided Detection; Data Fusion; Image Fusion; Sidescan Sonar Image Processing; Very Shallow Water Mine Countermeasure

Indexed keywords

AUTONOMOUS UNDERWATER VEHICLE; COMPUTER AIDED CLASSIFICATION; COMPUTER AIDED DETECTION; DATA FUSION; IMAGE FUSION; SIDESCAN SONAR IMAGE PROCESSING; VERY SHALLOW WATER MINE COUNTERMEASURE;

EID: 26844486262     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.603937     Document Type: Conference Paper
Times cited : (11)

References (12)
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  • 2
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    • Orlando, Fl., 5-9 April
    • T. M. Aridgides, M. Fernandez, G. Dobeck, "Adaptive Clutter Suppression, Sea Mine Detection/Classification, and Fusion Processing String for Sonar Imagery, Proceedings of SPIE'99, Vol. 3710, Orlando, Fl., 5-9 April 1999.
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    • Aridgides, T.M.1    Fernandez, M.2    Dobeck, G.3
  • 3
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  • 4
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    • Data fusion of computer aided detection/computer aided classification algorithms for classification of mines in very shallow water environments
    • April 24-28
    • Huang, J., Ciany, C., Broadman, M. & Doran, S., "Data fusion of computer aided detection/computer aided classification algorithms for classification of mines in very shallow water environments," Proceedings of the SPIE, Vol. 4038, April 24-28, 2000.
    • (2000) Proceedings of the SPIE , vol.4038
    • Huang, J.1    Ciany, C.2    Broadman, M.3    Doran, S.4
  • 5
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    • Computer aided detection/computer aided classification and data fusion algorithms for automated detection and classification of underwater mines
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    • Ciany, C. M. & Huang, J.,"Computer Aided Detection/Computer Aided Classification and Data Fusion Algorithms for Automated Detection and Classification of Underwater Mines," IEEE Oceans 2000 MTS/IEEE Conference and Exhibition, Vol. 1, Providence, R.I., 10 September 2000, pp. 277-284.
    • (2000) IEEE Oceans 2000 MTS/IEEE Conference and Exhibition , vol.1 , pp. 277-284
    • Ciany, C.M.1    Huang, J.2
  • 6
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    • Performance of fusion algorithms for computer aided detection and classification of mines in very shallow water obtained from testing in navy fleet battle exercise-hotel 2000
    • Orlando, Fl., 16-20 April
    • Ciany, C. M., Zurawski W., & Kerfoot, I., "Performance of Fusion Algorithms for Computer Aided Detection and Classification of Mines in Very Shallow Water Obtained from Testing in Navy Fleet Battle Exercise-Hotel 2000," Proceedings of SPIE'01, Vol. 4394, Orlando, Fl., 16-20 April 2001, pp. 1116-1122.
    • (2001) Proceedings of SPIE'01 , vol.4394 , pp. 1116-1122
    • Ciany, C.M.1    Zurawski, W.2    Kerfoot, I.3
  • 7
    • 0036442045 scopus 로고    scopus 로고
    • Application of fusion algorithms for computer aided detection and classification of bottom mines to shallow water test data
    • Detection and Remediation Technologies for Mines and Minelike Targets VI, Orlando, Fl., 1-4 April
    • Ciany, C. M. & Zurawski W., "Application of Fusion Algorithms for Computer Aided Detection and Classification of Bottom Mines to Shallow Water Test Data," Proceedings of SPIE AeroSense 2002, Detection and Remediation Technologies for Mines and Minelike Targets VI, Orlando, Fl., 1-4 April 2002.
    • (2002) Proceedings of SPIE AeroSense 2002
    • Ciany, C.M.1    Zurawski, W.2
  • 8
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    • Performance of fusion algorithms for computer aided detection and classification of bottom mines in the shallow water environment
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    • Ciany, C. M. & Zurawski W., "Performance of Fusion Algorithms for Computer Aided Detection and Classification of Bottom Mines in the Shallow Water Environment," IEEE Oceans 2002 MTS/IEEE Conference and Exhibition, Vol. 4, Biloxi, Ms., 29 October 2002, pp. 2164-2167.
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  • 9
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    • Orlando, Fl., 24-28 April
    • G. Dobeck, "Algorithm Fusion for the Detection and Classification of Sea Mines in the Very Shallow Water Region using Side-Scan Sonar Imagery," Proceedings of SPIE'OO, Vol. 4038, Orlando, Fl., 24-28 April 2000, pp. 348-361.
    • (2000) Proceedings of SPIE'OO , vol.4038 , pp. 348-361
    • Dobeck, G.1
  • 10
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    • Improvements in Computer Aided Detection/Computer Aided Classification (CAD/CAC) of bottom mines through post analysis of a diverse set of Very Shallow Water (VSW) environmental test data
    • Detection and Remediation Technologies for Mines and Minelike Targets IX. Orlando, Fl., 12-15 April
    • Ciany, C. M., Zurawski, W. C. "Improvements in Computer Aided Detection/Computer Aided Classification (CAD/CAC) of Bottom Mines through Post Analysis of a Diverse Set of Very Shallow Water (VSW) Environmental Test Data", Proceedings of SPIE Defense & Security Symposium 2004, Detection and Remediation Technologies for Mines and Minelike Targets IX, Vol.5415, pp.327-335. Orlando, Fl., 12-15 April 2004.
    • (2004) Proceedings of SPIE Defense & Security Symposium 2004 , vol.5415 , pp. 327-335
    • Ciany, C.M.1    Zurawski, W.C.2
  • 11
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    • Robust score-based feature vectors for algorithm fusion
    • Detection and Remediation Technologies for Mines and Minelike Targets IX. Orlando, Fl., 12-15 April
    • G. Dobeck, "Robust Score-based Feature Vectors for Algorithm Fusion", Proceedings of SPIE Defense & Security Symposium 2004, Detection and Remediation Technologies for Mines and Minelike Targets IX, Vol.5415, pp.304-314. Orlando, Fl., 12-15 April 2004.
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  • 12
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    • Real-time performance of fusion algorithms for computer aided detection and classification of bottom mines in the littoral environment
    • San Diego, CA, 22 September
    • Ciany, C. M., Zurawski W., Dobeck G. J., Weilert D. R., "Real-Time Performance of Fusion Algorithms for Computer Aided Detection and Classification of Bottom Mines in the Littoral Environment," ", IEEE Oceans 2003 MTS/IEEE Conference and Exhibition, San Diego, CA, 22 September 2003.
    • (2003) IEEE Oceans 2003 MTS/IEEE Conference and Exhibition
    • Ciany, C.M.1    Zurawski, W.2    Dobeck, G.J.3    Weilert, D.R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.