Abstract
This paper introduces a new method for reconstructing three-dimensional (3D) coastal bathymetry changes from Airborne AIRSAR/POLSAR 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 AIRSAR/POLSAR data. Then, the ocean surface current information used as input for continuity equation to estimate the water depths from AIRSAR/POLSAR data. This study shows that 3D ocean bathymetry can be reconstructed from AIRSAR/POLSAR data with root mean square error of ±0.03 m.
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References
Alpers, W. and I. Hennings, 1984. A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar, J. Geophys Res. 89: 10 529–10 546.
Anile, A. M., 1997. Report on the activity of the fuzzy soft computing group, Technical Report of the Dept. of Mathematics, University of Catania, March 1997, pp. 10.
Anile, A. M., S. Deodato and G. Privitera, 1995. Implementing fuzzy arithmetic, Fuzzy Sets and Systems, 72: 123–156.
Anile, A. M., G. Gallo and I. Perfilieva, 1997. Determination of Membership Function for Cluster of Geographical data. Genova, Italy: Institute for Applied Mathematics, National Research Council, University of Catania, Italy, October 1997, 25p., Technical Report No.26/97.
Forster, B. C., 1985. Mapping Potential of Future Spaceborne Remote Sensing System. Procs of 27th Australia Survey Congress, Alice Springs, Institution of Surveyors, Australia, Australia, pp. 109–117.
Fuchs, H. Z., M. Kedem and S. P. Uselton, 1977. Optimal Surface Reconstruction from Planar Contours. Comm. of the ACM 20: 693–702.
Guenther, G. C., A. G. Cunningham, P. E. LaRocque and D. J. Reid, 2000. Proceedings of EARSeL-SIG-Workshop LIDAR,Dresden/FRG, EARSeL, Strasbourg, France, June 16–17, 2000.
Hesselmans, G. H., G. J. Wensink C. G. V. Koppen, C. Vernemmen and C. V Cauwenberghe, 2000. Bathymetry assessment Demonstration off the Belgian Coast-Babel. The Hydro. J. 96: 3–8.
Inglada, J. and R. Garello, 1999. 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 Tran. Geos. and Rem. Sens. USA. 2: 956–958.
Inglada, J. and R. Garello, 2002. On rewriting the imaging mechanism of underwater bottom topography by synthetic aperture radar as a Volterra series expansion. IEEE J. Ocean Eng. 27: 665–674.
Keppel, E., 1975. Approximation Complex Surfaces by Triangulations of Contour Lines. IBM Journal of Research Developmen 19: 2–11.
Lee, J. S., D. T. L. Schuler, E. Ainsworth, D. Krogager, M. A. Kasilingam and W. M. Boerner, 2002. On the estimation of radar polarization orientation shifts induced by terrain slopes, IEEE Tran. Geos. and Rem. Sens. 40: 30–41.
Maeda, J., T. Iizawa, I. Tohru and Y. Suzuki, 1997. Accurate segmentation of noisy images using anisotropic diffusion and linking of boundary edge. IEEE TENCON—Speech and Image Technology for Computing and Telecommunications 1: 279–282.
Maged, M., 1994. Coastal Water Circulation off Kuala Terengganu, Malaysia. MSc. Thesis Universiti Pertanian Malaysia (now Universiti Putra Malaysia).
Maged, M., 2005. Fuzzy B-spline and Volterra algorithms for modelling surface current and ocean bathymetry from polarised TOPSAR data. Asian J. Inf. Tech. 4: 1–6.
Melba, M., S. Kumar, M. R. Richard, J. C. Gibeaut and N. Amy, 1999. Fusion of Airborne polarmetric and interferometric SAR for classification of coastal environments. IEEE Tran. Geos. and Rem. Sens. 37: 1 306–1 315.
Mills, G. B., 2006. NOAA, Office of Coast Survey, Hydrographic Surveys Division, 1315 East-West Highway, Station 6859, Silver Spring, Maryland, USA 20910-3282. (Url: http://chartmaker.ncd.noaa.gov/hsd/ihr-s44.pdf, accessed December 2006).
Romeiser, R. and W. Alpers, 1997. 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, J. Geophys. Res. 102: 25 251–25 267.
Shuchman, R. A., D. R. Lyzenga and G. A. Meadows, 1985. Synthetic aperture radar imaging of ocean-bottom topography via tidal-current interactions: theory and observations, Int. J. Rem. Sens 6: 1 179–1 200.
Vogelzang, J., 1997. Mapping submarine sand waves with multiband imaging radar, 1, Model development and sensitivity analysis, J. Geophys Res. 102: 1 163–1 181.
Vogelzang, J., G. J. Wensink, C. J. Calkoen and M. W. A. van der Kooij, 1997. Mapping submarine sand waves with multiband imaging radar, 2, Experimental results and model comparison, J. Geophys Res. 102: 1 183–1 192.
Vogelzang, J., G. J. Wensink, G. P. de Loor, H. C. Peters and H. Pouwels, 1992, Sea bottom topography with X band SLAR: the relation between radar imagery and bathymetry, Int. J. Rem. Sens. 13: 1 943–1 958.
Wensink, H. and G. Campbell, 1997. Bathymetric map production using the ERS SAR. Backscatter 8(1): 17–22.
Yu, Y. and T. A. Scott, 2002. Speckle reducing anisotropic diffusion. IEEE Tran. Geos. and Rem. Sens. 11: 1 260–1 270.
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Marghany, M., Hashim, M. & Cracknell, A.P. 3-D reconstruction of coastal bathymetry from AIRSAR/POLSAR data. Chin. J. Ocean. Limnol. 27, 117–123 (2009). https://doi.org/10.1007/s00343-009-0117-9
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DOI: https://doi.org/10.1007/s00343-009-0117-9