Abstract
Rapid determination of water depth near coastal areas is a practical problem of interest to Navy oceanographers and ships. Variations in depth both perpendicular and parallel to the shore are sought. Our aim is to create a semi-automated system for processing time sequences of remotely sensed images of wave crests to determine water depth. Using mathematical morphology to clean the images and find portions of contours parallel to the shoreline and time-stack images to determine wave phase speed both simplifies the analysis and requires significantly less processing time than previous manual or semi-automated methods. Depth results for the test image sequence discussed compare reasonably well to depths determined by sounding or ground sensors, but have large errors.
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References
Air Intelligence Group, Division of Naval Intelligence, Navy Department: 1944, Underwater Depth Determination, OPNAV-16-VP 46
Caruthers, J.W., Arnone, R. A., Howard, W., Haney, C., and Durham, C. L.: 1985, Water Depth Determination Using Wave Refraction Analysis of Aerial Photography, NORDA Report 110, Naval Research Laboratory, Mississippi 39529
Haralick, R. M., Sternberg, S. R., and Zhuang, X.: 1987, ‘Image analysis using mathematical morphology’, IEEE Trans. Pattern Anal Machine Intell. PAMI-9 (4), 532–550.
Holland, R. T. and Holman, R. A.: 1993, ‘The statistical distribution of swash maxima on natural beaches’, Jour. Geophys. Res. 98 (C6), 10271–10278
Kundu, P.: 1990, Fluid Mechanics, Academic Press, Inc., San Diego, pp. 184–205
Lea, S. M. and Lybanon, M.: 1993a, ‘Finding mesoscale ocean structures with mathematical morphology’, Remote Sens. Environ. 44, 25–33
Lea, S. M. and Lybanon, M.: 1993b, ‘Automated boundary delineation in infrared ocean images’, IEEE Trans. Geosci. and Remote Sens. TGARS-31 (6), 1256–1260
Polcyn, F. C. and Sattinger, I. J.: 1969, ‘Water depth determinations using remote sensing techniques’, Proc. 6th Symposium on Remote Sens. Environ., Vol. II, Ann Arbor, MI
Serra, J.: 1982, ‘The hit or miss transformation, erosion, and opening’, in Image Analysis and Mathematical Morphology, Academic Press, New York, pp. 34–62.
Williams, W. W.: 1947, ‘Determination of gradients on enemy-held beaches’, Geographical Journal (Royal Geographical Society, London) CIX Nos. 1–3, 76–93
Wilson, S. S.: 1989, ‘Vector morphology and iconic neural networks’, IEEE Trans. Syst. Man Cybernet. 19 (6), 1636–1644
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© 1996 Kluwer Academic Publishers
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Lea, S.M., Lybanon, M., Peckinpaugh, S.H. (1996). Water Depth Determination Using Mathematical Morphology. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0469-2_53
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DOI: https://doi.org/10.1007/978-1-4613-0469-2_53
Publisher Name: Springer, Boston, MA
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