Abstract
This paper introduces a new methods for three-dimensional(3D) ocean bathymetry reconstruction using Airborne TOPSAR Synthetic Aperture data. The new method is based on integration between Fuzzy B-spline and Volterra algorithm. Volterra algorithm is used to simulate the ocean surface current from TOPSAR data. Then, ocean surface current information used as input for continuity equation to estimate the water depths at different locations in TOPSAR data. This study shows that 3D ocean bathymetry can be reconstructed from TOPSAR data. The maximum water depth of 20 m can be captured from TOPSAR data.
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References
Alpers, W., Hennings, I.: A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar. Journal of Geophysical Research 89, 10529–10546 (1984)
Anile, A.M.: Report on the activity of the fuzzy soft computing group, Technical Report of the Dept. of Mathematics, University of Catania, pages. 10 (March 1997)
Anile, A.M., Deodato, S., Privitera, G.: Implementing fuzzy arithmetic. Fuzzy Sets and Systems 72, 123–156 (1997)
Anile, A.M., Gallo, G., Perfilieva, I.: Determination of Membership Function for Cluster of Geographical data. Genova, Italy: Institute for Applied Mathematics, National Research Council, University of Catania, Italy, October 1997. vol. 26/97 p. 25 Technical Report (1997)
Forster, B.C.: Mapping Potential of Future Spaceborne Remote Sensing System. In: Procs of 27th Australia Survey Congress, Alice Springs, Institution of Surveyors, Australia, Australia, pp. 109–117 (1985)
Fuchs, H., Kedem, Z.M., Uselton, S.P.: Optimal Surface Reconstruction from Planar Contours. Communications of the ACM 20, 693–702 (1997)
Guenther, G.C., Cunningham, A.G., LaRocque, P.E., Reid, D.J.: In: Proceedings of EARSeL-SIG-Workshop LIDAR,Dresden/FRG,EARSeL, Strasbourg, France (June 16-17, 2000)
Hesselmans, G.H, Wensink, G.J., Koppen, C.G.V., Vernemmen, C.: Bathymetry assessment Demonstration off the Belgian Coast-Babel. The Hydrographica Journal 96, 3–8 (2000)
Inglada, J., Garello, R.: Depth estimation and 3D topography reconstruction from SAR images showing underwater bottom topography signatures. In: Proceedings of Geoscience and Remote Sensing Symposium, 1999, IGARSS’99, Hamburg, Germany, 28 June-2 July 1999, IEEE Geoscience and Remote Sensing Society, USA. vol. 2, pp. 2956–2958 (1999)
Inglada, J., Garello, R.: On rewriting the imaging mechanism of underwater bottom topography by synthetic aperture radar as a Volterra series expansion. IEEE Journal of Oceanic Engineering 27, 665–674 (2002)
Keppel, E.: Approximation Complex Surfaces by Triangulations of Contour Lines. IBM Journal of Research Development 19, 2–11 (1975)
Lee, J.S., Schuler, D., Ainsworth, T.L., Krogager, E., Kasilingam, D., Boerner, W.M.: On the estimation of radar polarization orientation shifts induced by terrain slopes. IEEE Transactions on Geosciences and Remote Sensing 40, 30–41 (2002)
Maged, M.: Coastal Water Circulation off Kuala Terengganu, Malaysia. MSc. Thesis Universiti Pertanian Malaysia (now Universiti Putra Malaysia) (1994)
Maged, M.: Fuzzy B-spline and Volterra algorithms for modelling surface current and ocean bathymetry from polarised TOPSAR data. Asian Journal of Information Technology 4, 1–6 (2005)
Melba, M., Kumar, S., Richard, M.R., Gibeaut, J.C., Amy, N.: Fusion of Airborne polarmetric and interferometric SAR for classification of coastal environments. IEEE Transactions on Geoscience and Remote Sensing 37, 1306–1315 (1999)
Mills, G.B.: NOAA, Office of Coast Survey, Hydrographic Surveys Division, 1315 East-West Highway, Station 6859, Silver Spring, Maryland, USA 20910-3282 (accessed December 2006), (Url: http://chartmaker.ncd.noaa.gov/hsd/ihr-s44.pdf
Romeiser, R., Alpers, W.: An improved composite surface model for the radar backscattering cross section of the ocean surface, 2, Model response to surface roughness variations and the radar imaging of underwater bottom topography. Journal of Geophysical Research 102, 25251–25267 (1997)
Shuchman, R.A., Lyzenga, D.R., Meadows, G.A.: Synthetic aperture radar imaging of ocean-bottom topography via tidal-current interactions: theory and observations. International Journal of Remote Sensing 6, 1179–1200 (1985)
Yu, Y., Scott, T.A.: Speckle reducing anisotropic diffusion. IEEE Transactions on Geoscience and Remote Sensing 11, 1260–1270 (2002)
Vogelzang, J.: Mapping submarine sand waves with multiband imaging radar, 1, Model development and sensitivity analysis. Jornal of Geophysical Research 102, 1163–1181 (1997)
Vogelzang, J., Wensink, G.J., Calkoen, C.J., van der Kooij, M.W.A.: Mapping submarine sand waves with multiband imaging radar, 2, Experimental results and model comparison. Journal of Geophysical Research 102, 1183–1192 (1997)
Vogelzang, J., Wensink, G.J., de Loor, G.P., Peters, H.C., Pouwels, H.: Sea bottom topography with X band SLAR: the relation between radar imagery and bathymetry. International Journal of Remote Sensing 13, 1943–1958 (1992)
Wensink, H., Campbell, G.: Bathymetric map production using the ERS SAR. Backscatter 8(1), 17–22 (1997)
Homer, J., Longstaff, D., She, Z.: Improved digital elevation models via multi-baseline interferometric SAR. In: Proceedings of IGARSS, pp. 1579–1581 (1997)
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Marghany, M., Hashim, M., Cracknell, A.P. (2007). 3D Bathymetry Reconstruction from Airborne Topsar Polarized Data. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_36
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DOI: https://doi.org/10.1007/978-3-540-74484-9_36
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