A neural network based seafloor classification using acoustic backscatter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2275, Issue , 2002, Pages 245-250

  Chakraborty, Bishwajit ^a  

^a NATIONAL INSTITUTE OF OCEANOGRAPHY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BACKSCATTERING; CONFORMAL MAPPING; FUZZY SYSTEMS; SELF ORGANIZING MAPS; SOFT COMPUTING;

ACOUSTIC BACKSCATTER; ARABIAN SEA; BACKSCATTER DATA; ECHO SOUNDERS; MULTI LAYER PERCEPTRON; SINGLE BEAM; SINGLE SNAPSHOTS; SOM NETWORKS;

MULTILAYER NEURAL NETWORKS;

EID: 84945304025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45631-7_33     Document Type: Conference Paper

References (9)

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3. Chakraborty, B., Schenke, H.W., Kodagali, V., Hagen, R.: Seabottom Characterization using Multibeam Echosounder Angular Backscatter: An Application of the Composite Roughness Theory. IEEE TGARS. 38 (2000) 2419-2422.
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6. Chakraborty, B., Kaustubha, R., Hegde, A., Pereira, A.: Acoustic Seafloor Sediment Classification using SOMs (IEEE TGARS -In-Press).
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8. Alexandrou, D., de Moustier, C., Haralabaus, G.,: Evaluation and Verification of Bottom Acoustic Reverberation Statistics Predicted by the Point Scattering Model. J. Acous. Soc. Am. 91(1992) 1403-1413
9. Matlab Neural Network Toolbox User’s Guide (1998) Versions 5.3, Mathworks Inc.