Sea-floor classification using multibeam echo-sounding angular backscatter data: A real-time approach employing hybrid neural network architecture

IEEE Journal of Oceanic Engineering

Volumn 28, Issue 1, 2003, Pages 121-128

  Chakraborty, Bishwajit ^a   Kodagali, Vijay ^a   Baracho, Jennifer ^a  

^a NATIONAL INSTITUTE OF OCEANOGRAPHY   (India)

Author keywords

Angular backscatter; Composite roughness model; Learning vector quantization (LVQ); Multibeam echo sounder; Sea floor classification; Self organizing feature map (SOFM)

Indexed keywords

ACOUSTIC WAVE BACKSCATTERING; LEARNING SYSTEMS; MANGANESE NODULES; MATHEMATICAL MODELS; REAL TIME SYSTEMS; ROUGHNESS MEASUREMENT; SELF ORGANIZING MAPS; VECTOR QUANTIZATION;

ANGULAR BACKSCATTER; LEARNING VECTOR QUANTIZATION; MULTIBEAM ECHO SOUNDING SYSTEM; SEA FLOOR CLASSIFICATION;

OCEAN ENGINEERING;

EID: 0037261867     PISSN: 03649059     EISSN: None     Source Type: Journal    
DOI: 10.1109/JOE.2002.808211     Document Type: Article

References (16)

1. B. Chakraborty, H. W. Schenke, V. Kodagali, and R. Hagen, "Seabottom characterization using multibeam echo-sounder angular backscatter: An application of the composite-roughness theory," IEEE Trans. Geosci. Remote Sensing, vol. 38, pp. 2419-2422, May 2000.
2. D. R. Jackson, D. P. Winebreuner, 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, 1986.
3. C. de Moustier and D. Alexandrou, "Angular dependence of 12 kHz seafloor acoustic backscatter," J. Acoust. Soc. Amer., vol. 90, no. 1, pp. 522-531, 1991.
4. B. Chakraborty and V. Kodagali, PROcessing BAckscatter SIgnal (PROBASI) Copyrighted Software Registration: L-19038/2000. New-Delhi, India: Registrar of Copyrights, 2000.
5. Z. H. Michalopoulo, D. Alexandrou, and C. de Moustier, "Application of neural and statistical classifiers to the problem of seafloor characterization," IEEE J. Ocean Eng., vol. 20, pp. 190-197, July 1995.
6. T. Kohonen, "The self-organizing map," Proc. IEEE, vol. 78, pp. 1464-1480, Sept. 1990.
7. National Institute of Oceanography, "ORV Sagar Kanya scientific cruise report: 136," National Institute of Oceanography, Dona Paula, Goa, Cruise Rep., 1998.
8. M. Sudhakar, "Ore grade manganese nodules from the Central Indian Ocean Basin: An evaluation," Marine Mining, vol. 8, pp. 210-214, 1989.
9. M. Gutberlet and H. W. Schenke, "Hydrosweep: New era in high-precision bathymetric surveying in deep and shallow water," Mar. Geod., vol. 13, no. 1, pp. 1-23, 1989.
10. Anonymous, "Interface specification-Atlas hydrosweep DS data for backscattering analysis,", pp. 1-28, 1993.
11. V. Kodagali and B. Chakraborty, "Multi-beam echosounder pseudo side scan images as a tool for manganese nodule explorations," in Proc. III ISOPE Ocean Mining Symposium, 1999, pp. 97-104.
12. R. Beals and T. Jordon, Neural Computing: An Introduction. Philadelphia, PA: IPP, 1997.
13. B. Chakraborty, R. Kaustubha, A. Hegde, and A. Pereira, "Acoustic seafloor sediment classification using self organizing feature maps," IEEE Trans. Geosci. Remote Sensing, vol. 39, pp. 2722-2725, Dec. 2001.
14. N. Makris, "Imaging ocean-basin reverberation via inversion," J. Acoust. Soc. Amer., vol. 94, no. 2, pp. 983-993, 1993.
15. Y. Ito and S. Omatu, "Extended LVQ neural network approach to land cover mapping," IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 313-317, Jan. 1999.
16. B. Chakraborty, V. Kodagali, J. Baracho, and A. Joseph, "A novel system for seafloor classification using Artificial Neural Network (ANN) hybrid layout with the use of unprocessed multi-beam backscatter data," CSIR Ref. no. 157 nf 68/2002, 2002.