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2009 International Symposium on Ocean Electronics, SYMPOL 2009
Volumn , Issue , 2009, Pages 93-99
Multi-beam backscatter image data processing techniques employed to EM 1002 system
Author keywords

Backscatter data; Image processing techniques; Multi beam
Indexed keywords

1002- SYSTEM; BACKSCATTER DATA; BACKSCATTER STRENGTH; BATHYMETRIC DATA; BEAM ANGLE; IMAGE DATA; IMAGE DATA PROCESSING; IMAGE PROCESSING TECHNIQUES; MULTI-BEAM; NORMAL INCIDENCE; SEA FLOOR;
EID: 78449251923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYMPOL.2009.5664157     Document Type: Conference Paper
Times cited : (18)
References (8)
  • 1
    • 0001127642 scopus 로고
    • The potential for seabed classification using backscatter from shallow water multibeam sonars
    • A.B. Smith, C.D. Jones, and E.F. Roberts
    • Hughes Clarke JE (1993) The potential for seabed classification using backscatter from shallow water multibeam sonars. Proc Inst Acoustics 15(part2):381-387.A.B. Smith, C.D. Jones, and E.F. Roberts,
    • (1993) Proc Inst Acoustics , vol.15 , Issue.PART 2 , pp. 381-387
    • Hughes Clarke, J.E.1
  • 2
    • 0037261867 scopus 로고    scopus 로고
    • Sea-Floor classification using multi-beam echo sounding angular backscatter data- a real time approach employing hybrid neural network architecture
    • Chakraborty B and Kodagali, V Baracho J (2003) Sea-Floor classification using multi-beam echo sounding angular backscatter data- a real time approach employing hybrid neural network architecture. IEEE J. Ocean Eng. 28, 121-128
    • (2003) IEEE J. Ocean Eng. , vol.28 , pp. 121-128
    • Chakraborty, B.1    Baracho J, K.V.2
  • 3
    • 0024749790 scopus 로고
    • Quantitative backscatter measurements with long range side-scan sonar
    • Mitchell, N.C. Somers, M.L. (1989) Quantitative backscatter measurements with long range side-scan sonar. IEEE J.Oceanic Eng., 14, 368-37.
    • (1989) IEEE J.Oceanic Eng. , vol.14 , pp. 368-437
    • Mitchell, N.C.1    Somers, M.L.2
  • 5
    • 78650876619 scopus 로고    scopus 로고
    • (ESRI Version 8.3), Anon, ESRI Inc., USA
    • Anon, 1998. Using ArcMap (ESRI version 8.3), ESRI Inc., USA.
    • (1998) Using ArcMap
  • 6
    • 78650889341 scopus 로고    scopus 로고
    • Method for determining seafloor roughness using multibeam echosounder
    • 6,549,853 B2 US Patent
    • Chakraborty, B, Kodagali, V N (2003) Method for determining seafloor roughness using multibeam echosounder, 6,549,853 B2 US Patent.
    • (2003)
    • Chakraborty, B.1    Kodagali, V.N.2
  • 7
    • 33846039743 scopus 로고    scopus 로고
    • Seafloor classification of the mound channel provinces of the Porcupine Seabight: An application of the multibeam angular backscatter data
    • Beyer, A, Chakraborty, B., Schenke, H.W. (2007) Seafloor classification of the mound channel provinces of the Porcupine Seabight: an application of the multibeam angular backscatter data. Int. J. Earth Sci. (Geol. Rundsch) 96, 11-20.
    • (2007) Int. J. Earth Sci. (Geol. Rundsch) , vol.96 , pp. 11-20
    • Beyer, A.1    Chakraborty, B.2    Schenke, H.W.3
  • 8
    • 0022858821 scopus 로고
    • Processing techniques for digital sonar images from GLORIA
    • Chavez, P.S., (1986) Processing techniques for digital sonar images from GLORIA. Photogramm. Eng. Remote Sens. 52, 1133-1145.
    • (1986) Photogramm. Eng. Remote Sens. , vol.52 , pp. 1133-1145
    • Chavez, P.S.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.