Application of artificial neural networks to segmentation and classification of topographic profiles of ridge-flank seafloor

Current Science

Volumn 85, Issue 3, 2003, Pages 306-312

  Chakraborty, Bishwajit ^a   Lourenco, Eric ^a,b   Kodagali, Vijay ^a   Baracho, Jennifer ^a  

^a NATIONAL INSTITUTE OF OCEANOGRAPHY   (India)

^b NONE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 4444286487     PISSN: 00113891     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (18)

1. de Moustier, C., Beyond bathymetry: Mapping acoustic backscattering from the deep seafloor with Sea Beam. J. Acoust. Soc. Am., 1986, 79, 316-331.
2. Malinverno, A., Segmentation of topographic profiles of the seafloor based on a self-affine model. IEEE JOE, 1989, 14, 348-358.
3. Chakraborty, B., Lorenco, E. and Kodagali, V. N., 38th Annual convention and meeting of Indian Geophysical Union - A special session on 'Ridge processes, plume ridge interaction and hydrothermal activity' Vishakhapatnam, December 2001, pp. 61-62.
4. Beale, R. and Jackson, T., Neural Computing: An Introduction, Institute of Physics Publishing, Bristol, 1997.
5. Mudholkar, A. V., Kodagali, V. N., Raju, K. A. K., Valsangakar, A. B., Ranade, G. and Ambre, N. V., Geomorphological and petrological observations along a segment of slow-spreading Carlsberg Ridge. Curr Sci., 2002, 82, 982-989.
6. Cruise report of ORV Sagar Kanya. Cruise Report No. 114, 1996 (available at NIO library).
7. Bansal, A. R. and Dimri, V. P., Gravity evidence for mid-crustal domal structure below Delhi for belt and Bhilwara super group of western India. Geophys. Res. Lett., 1999, 26, 2793-2795.
8. Stewart, W. K., Chu, D., Malik, S., Lerner, S. and Singh, H., Quantitative seafloor characterization using a bathymetric sidescan sonar. IEEE JOE, 1994, 19, 599-609.
9. Kohonen, T., Self-organizing map. Proc. IEEE, 1990, 78, 1464-1480.
10. Kohonen, T., Self-Organizing Map, Springer, Berlin, 2001.
11. Chakraborty, B., Kaustubha, R., Hegde, A. and Pereira, A., Acoustic seafloor sediment characterization using self-organizing maps. IEEE TGARS, 2001, 39, 2722-2725.
12. Chakraborty, B., A neural network-based seafloor classification using acoustic backscatter. Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (eds Pal, N. R. and Sugeno, M.), (LNAI 2275), Springer, Berlin, 2002, pp. 245-250.
13. Michalopoulo, Z. H., Alexandrou, D. and de Moustier, C., Application of neural and statistical classifiers to the problem of seafloor characterization. IEEE JOE, 1995, 20, 190-197.
14. Kleiner, B. and Graedel, T. E., Exploratory data analysis in the geophysical sciences. Rev. Geophys., 1980, 18, 699-717.
15. Matlab Neural Network Toolbox, User's Guide, Version 6.0, Mathworks Inc, 2001.
16. Gill, P. R., Murry, W. and Wright, M. H., Practical Optimization, Academic Press, London, 1988.
17. Haykin, S., Neural Networks: A Comprehensive Foundation, Prentice Hall, New Jersey, 1994.
18. Berkson, J. M. and Matthews, J. E., Statistical characterization of seafloor roughness. IEEE JOE, 1984, 9, 49-52.