1. [1] Simons, D.G. and Snellen, M., 2009. A Bayesian Approach to Seafloor Classification using Multi-beam Echo-sounder Backscatter Data. Applied Acoustics, vol. 70, p. 11. [ DOI:10.1016/j.apacoust.2008.07.013] 2. [2] AmiriSimkooei, A.R., Snellen, M., and Simons, D.G., 2009. Riverbed Sediment Classification using Multi beam Echo-sounder Backscatter Data. the Acoustical Society of America vol. 126, p. 15. 3. [3] Alexandrou, D. and Pantzartzis, D., 1993. A Methodology for Acoustic Seafloor Classification. IEEE J. Ocean. Eng. 18, p. 81–86. [ DOI:10.1109/48.219527] 4. [4] Michalopoulou, Z.H., Alexandrou, D. and Moustier, C.de., 1995. Application of Neural and Statistical Classifiers to the Problem of Seafloor Characterization. IEEE J. Ocean. Eng. 20, p. 190–197. 5. [5] [5] Chakraborty, B., Mahale, V., Sousa, C. and Das, P., 2004. Seafloor Classification using Echo-Waveforms: A Method Employing Hybrid Neural Network Architecture. IEEE Geoscience and remote sensing letters, vol. 1, p. 5. 6. [6] Mignotte, M., Collet, C., Pérez, P. and Bouthemy, P., 2000. Sonar Image Segmentation using an Unsupervised Hierarchical MRF Model. IEEE Transactions on Image Processing, vol. 9, p. 16. [ DOI:10.1109/83.847834] 7. [7] Chakraborty, B., Schenke, H.W., Kodagali, V. and Hagen, R., 2000. Seabottom Characterization using Multibeam Echosounder Angular Backscatter: An Application of the Composite Roughness Theory. IEEE, vol. 38, p. 4. 8. [8] Allen1, Y.C., Wilson, C.A., Roberts, H.H. and Supan, J., 2005. High Resolution Mapping and Classification of Oyster Habitats in Nearshore Louisiana using Sidescan Sonar. Estuarine Research Federation, vol. 28, p. 12. 9. [9] Lubniewski, Z. and Chybicki, A., 2008. Seabed Classification using Multibeam Echosounder. IEEE/ Information Technology, 2008, IT. 1st International Conference on Gdansk, p. 4. [ DOI:10.1109/INFTECH.2008.4621690] 10. [10] Chenadec, G.Le. and Boucher, J.M., 2005. Sonar Image Segmentation using the Angular Dependence of Backscattering Distributions. IEEE/Oceans 2005, Europe, vol. 1, p. 6. 11. [11] Chenadec, G.Le., Bouchert, J.M., Lurton, X. and Augustin, J.M., 2004. Angular Dependence of Statistical Distributions for Backscattered Signals: Modelling and Application to Multibeam Echosounder Data. IEEE, vol. 2, p. 7. 12. [12] AmiriSimkooei, A.R., Snellen, M. and Simons, D.G., 2008. Using the MBES for Classification of Riverbed Sediments. the Acoustical Society of America, vol. 123, p. 6. 13. [13] Lurton, X., 2002. An Introduction to Underwater Acoustics: Principles and Applications. Springer, New York, p. 90–91. 14. [14] Hovem, J.M., 2006. Underwater Acoustics: Propagation, devices and systems. Polecer International Conference, Springer, Ed. Hafjell, Lillehammer-Norway, p. 9. 15. [15] Simons, D.G., 2010. Seafloor Mapping: Underwater Acoustics Group. (TNO-FEL), the Netherlands, lecture notes. 16. [16] Mishra, DR., Narumalani, S., Rundquist, D., Lawson, M., 2005. High-resolution ocean color remote sensing of benthic habitats: a case study at the Roatan Island, Honduras. IEEE Trans Geosci Remote Sensing, vol. 43, p. 1592–1604. [ DOI:10.1109/TGRS.2005.847790] 17. [17] Purkis, SJ., 2005. A reef-up approach to classifying coral habitats from IKONOS imagery. IEEE Trans Geosci Remote Sensing, vol. 43, p. 1375–1390. [ DOI:10.1109/TGRS.2005.845646] 18. [18] Brouwer, P.A.I., 2008. Seafloor Classification Using a Single Beam Echosounder. Department of Earth Observation & Space Systems chair of Acoustic Remote Sensing. vol. Master: Delft, The Netherlands. 19. [19] Hsu, C.w. and Lee, L.s., 2004. Higher Order Cepstral Moment Normalization (HOCMN) for Robust Speech Recognition. IEEE, p. 4. 20. [20] Suk, Y.H., Choi, S.H., and Lee, H.S., 1999. Cepstrum Third-order Normalisation Method for Noisy Speech Recognition. IEEE, vol. 35, p. 2. 21. [21] Montgomery, D.C., Runger, G.C., 2002. Applied Statistics and Probability for Engineers. John Wiley & Sons, 3rd edition, the United States of America. 22. [22] Perry, S.W., 2000. Applications of Image Processing to Mine Warfare Sonar. DSTO Aeronautical and Maritime Research Laboratory PO Box 4331 Melbourne Victoria 3001 Australia. 23. [23] Cervenka, P., and Moustier, C.de., 1993. Sidescan SonarImage Processing Techniques. IEEE, vol. 18, p 15. 24. [24] Gonzales, R.C. and Woods, R.E., 2002. Digital Image Processing. Prentice Hall, second edition.
|