Acoustic characterization of seafloor sediment employing a hybrid method of neural network architecture and fuzzy algorithm

IEEE Geoscience and Remote Sensing Letters

Volumn 6, Issue 4, 2009, Pages 743-747

  De, Chanchal ^a   Chakraborty, Bishwajit ^b  

^a NAVAL PHYSICAL AND OCEANOGRAPHIC LABORATORY   (India)

^b NATIONAL INSTITUTE OF OCEANOGRAPHY   (India)

Author keywords

Echo feature; Fuzzy C means (FCM); Seafloor characterization; Self organizing map (SOM)

Indexed keywords

ACOUSTIC CHARACTERIZATION; APRIORI; CONTINENTAL SHELVES; DATA SETS; ECHO FEATURE; ECHO SOUNDERS; FUZZY ALGORITHMS; FUZZY C-MEANS (FCM); GROUND TRUTH; HYBRID METHOD; KOHONEN; NORMAL INCIDENCE; OPERATING FREQUENCY; SEAFLOOR CHARACTERIZATION; SEAFLOOR SEDIMENTS; SEDIMENT CLASSIFICATION; SELF-ORGANIZING MAP (SOM); SIMULATED DATA; SINGLE-BEAM;

ALGORITHMS; CONFORMAL MAPPING; FUZZY CLUSTERING; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; HYBRID SENSORS; STRENGTH OF MATERIALS;

SEDIMENTOLOGY;

EID: 70350335072     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2024438     Document Type: Article

References (36)

1. D. R. Jackson, D. P. Winebrenner, and A. Ishimaru, "Application of the composite roughness model to high-frequency bottom backscattering," J. Acoust. Soc. Amer., vol.79, no.5, pp. 1410-1422, May 1986.
2. E. Pouliquen and X. Lurton, "Seabed identification using echo-sounder signals," in Proc. Eur. Conf. Underwater Acoust., Sep. 1992, pp. 535-539.
3. D. D. Sternlicht and C. P. de Moustier, "Time dependent seafloor acoustic backscatter (10-100 kHz)," J. Acoust. Soc. Amer., vol.114, no.5, pp. 2709-2725, Nov. 2003.
4. A. Orlowski, "Application of multiple echoes energy measurements for evaluation of sea bottom type," Oceanologia, vol.19, pp. 61-78, 1984.
5. Z. Klusek, J. Tegowski, and J. Szczucka, "Characteristic properties of bottom backscattering in the southern Baltic Sea at ultrasound frequencies," Oceanologia, vol.36, no.1, pp. 81-102, 1994.
6. P. A. van Walree, J. Tegowski, C. Laban, and D. G. Simons, "Acoustic seafloor discrimination with echo shape parameters: A comparison with the ground truth," Cont. Shelf Res., vol.25, no.18, pp. 2273-2293, Nov. 2005.
7. P. Legendre, K. E. Ellingsen, E. Bjornbom, and P. Casgrain, "Acoustic seabed classification: Improved statistical method," Can. J. Fish Aquat. Sci., vol.59, no.7, pp. 1085-1089, 2002.
8. A. Stepnowski, J. Maciolowska, and T. V. Dung, "Bottom type identification using combined neuro-fuzzy classifier operating on multi-frequency data," Arch. Acoust., vol.24, no.3, pp. 365-378, 1999.
9. T. V. Dung and A. Stepnowski, "Sea bottom recognition using multistage fuzzy neural network operating on multi-frequency data," Acta Acust., vol.86, pp. 830-837, 2000.
10. A. Stepnowski, M. Moszynski, and T. V. Dung, "Adaptive neuro-fuzzy and fuzzy decision tree classifiers as applied to seafloor characterization, " Acoust. Phys., vol.49, no.2, pp. 193-202, Mar. 2003.
11. D. Alexandrou and D. Pantzartzis, "A methodology for acoustic seafloor classification," IEEE J. Ocean. Eng., vol.18, no.2, pp. 81-86, Apr. 1993.
12. Z.-H. Michalopoulou, D. Alexandrou, and C. de Moustier, "Application of neural and statistical classifiers to the problem of seafloor characterization," IEEE J. Ocean. Eng., vol.20, no.3, pp. 190-197, Jul. 1995.
13. X. Zhou and Y. Chen, "Seafloor classification of multibeam sonar data using neural network approach," Mar. Geod., vol.28, no.2, pp. 201-206, Apr. 2005.
14. W. K. Stewart, M. Marra, and M. Jiang, "A hierarchical approach to seafloor classification using neural networks," in Proc. IEEE Oceans, 1992, vol.I, pp. 109-113.
15. B. Zerr, E. Maillard, and D. Gueriot, "Sea-floor classification by neural hybrid system," in Proc. IEEE Oceans, 1994, vol.2, pp. 239-243.
16. W. K. Stewart, M. Jiang, and M. Marra, "A neural network approach to classification of sidescan sonar imagery from a midocean ridge area," IEEE J. Ocean. Eng., vol.19, no.2, pp. 214-224, Apr. 1994.
17. T. Kohonen, "Self-organising map," Proc. IEEE, vol.78, no.9, pp. 1464- 1480, Sep. 1990.
18. J. C. Bezdek, Pattern Recognition With Fuzzy Objective Function Algorithms. New York: Plenum, 1981.
19. B. Chakraborty, R. Kaustubha, A. Hegde, and A. Pereira, "Acoustic seafloor sediment characterization using self-organizing maps," IEEE Trans. Geosci. Remote Sens., vol.39, no.12, pp. 2722-2725, Dec. 2001.
20. B. Chakraborty, V. Mahale, C. de Sousa, and P. Das, "Seafloor classification using echo-waveforms: A method employing hybrid neural network architecture," IEEE Geosci. Remote Sens. Lett., vol.1, no.3, pp. 196-200, Jul. 2004.
21. B. Chakraborty, E. Lourenco, V. Kodagali, and J. Baracho, "Application of artificial neural networks to segmentation and classification of topographic profiles of ridge-flank seafloor," Curr. Sci., vol.85, no.3, pp. 306-312, Aug. 2003.
22. J. Burczynski, Bottom Classification. Seattle,WA: BioSonics Inc., 1999.
23. B. Chakraborty, G. S. Navelkar, and B. R. Rao, "Cruise report," Nat. Inst. Oceanogr., Goa, India, Sagar Purvi cruise rep. SR 03/05, 2005. [Online]. Available: http://itg.nio.org/DataCentre.nsf/105927c0a551667565257558 0031b111/2226777f0c58fb726525733f003c6ec1?OpenDocument
24. G. S. Navelkar and V. Mahale, "Cruise report," Nat. Inst. Oceanogr., Goa, India, Sagar Purvi cruise rep. SR 16/05, 2005. [Online]. Available: http://itg.nio.org/DataCentre.nsf/105927c0a5516675652575580031b111/ f7137e05fd8677ba6525724300489f7c?OpenDocument
25. P. A. Clarke and L. J. Hamilton, The ABCS program for the analysis of echo sounder returns for acoustic bottom classification, Aeronaut. Maritime Res. Lab., Melbourne, Australia, Rep. DSTO-GD-0215.
26. E. Pouliquen, "Depth dependence correction for normal incidence echo sounding," in Proc. 7th ECUA, Delft, The Netherlands, Jul. 2004.
27. F. P. Shepard, "Nomenclature based on sand-silt-clay ratios," J. Sediment. Petrol., vol.24, no.3, pp. 151-158, Sep. 1954.
28. B. Chakraborty, V. Mahale, G. Navelkar, B. R. Rao, R. G. Prabhudesai, B. Ingole, and G. Janakiraman, "Acoustic characterization of seafloor habitats on the western continental shelf of India," ICES J. Mar. Sci., vol.64, no.3, pp. 551-558, Apr. 2007.
29. J. Tegowski and Z. Lubniewski, "Seabed characterisation using spectral moments of the echo signal," Acta Acust./Acustica, vol.88, no.6, pp. 623- 626, 2002.
30. J. Tegowski and Z. Lubniewski, "The use of fractal properties of echo signals for acoustical classification of bottom sediments," Acta Acust./Acustica, vol.86, no.2, pp. 276-282, 2000.
31. C. K.Wentworth, "A scale of grade and class terms for clastic sediments," J. Geol., vol.30, no.5, pp. 377-392, Jul./Aug. 1922.
32. C.-S. Maroni, A. Quinquis, and E. Radoi, "A methodology for neural network based classification ofmarine sediments using a subbottom profiler," in Proc. IEEE Oceans, 1997, vol.2, pp. 1370-1375.
33. I. T. Jollife, Principal Component Analysis. New York: Springer-Verlag, 1986.
34. J. Ghosh, L. M. Deuser, and S. D. Beck, "A neural network based hybrid system for detection, characterization, and classification of shortduration oceanic signals," in IEEE J. Ocean. Eng., vol.17, Oct. 1992, pp. 351-363.
35. B. T. Prager, D. A. Caughey, and R. H. Poeckert, "Bottom classification: Operational results from QTC view," in Proc. IEEE Oceans, Sep. 1995, vol.3, pp. 1827-1835.
36. MATLAB 7.0, Fuzzy Logic Toolbox, Math Works, Inc., Natick, MA, 1984-2004.