Abstract
This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of IWs is detected, it is possible to estimate the wavenumber. The wavelength in the images used in our experiments is within the range 1300–2200 m. The speed of IWs is estimated using two adjacent passes of the Aqua and Terra satellites. The speed and wavenumber are used for estimating the density characteristics of the mixed layer in a two-layer model with constant density. The estimated density difference between the layers based on satellite data is in a good agreement with the in situ data.
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REFERENCES
Duda, R. and Hart, P., Use of the Hough transformation to detect lines and curves in pictures, Commun. ACM, 1972, vol. 15, pp. 11–15.
Hough, P.V.C., A method and means for recognizing complex patterns, US Patent 3069654, 1962.
Jackson, C., Internal wave detection using the moderate resolution imaging spectroradiometer (MODIS), J. Geophys. Res., 2007, vol. 112, C11012.
Jackson, C.R., Da Silva J.C.B., Jeans, G., Alpers, W., and Caruso, M.J., Nonlinear internal waves in synthetic aperture radar imagery, Oceanography, 2013, vol. 26, no. 2, pp. 68–79.
Lavrova, O.Yu., Mityagina, M.I., and Sabinin, K.D., Surface manifestations of internal waves in the northeastern part of the Black Sea, Issled. Zemli Kosmosa, 2009, no. 6, pp. 49–55.
Li, X., Clemente-Colon, P., and Freidman, K.S., Estimating oceanic mixed-layer depth from internal wave evolution observed from Radarsat-1 SAR, Johns Hopkins APL Tech. Digest, 2000, vol. 21, no. 1, pp. 130–135.
Osborn, A. and Burch, T., Internal solitons in the Andaman Sea, Science (Washington, D.C.), 1980, vol. 208, pp. 451–460.
Rodenas, J. and Garello, R., Internal wave detection and location in SAR images using wavelet transform, IEEE Trans. Geosci. Remote Sens., 1998, vol. 36, pp. 1494–1507.
Santo, D.S., Mitnik, L., and Zheng, Q., Ocean internal waves observed in the Lombok strait, Oceanography, 2005, vol. 18, no. 4, pp. 81–87.
Serebryanyi, A.N., Slick- and suloy-generating processes in the sea. Internal waves, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2012, vol. 9, no. 2, pp. 275–286.
Simonin, D., Tatnall, A.R., and Robinson, I.S., The automated detection and recognition of internal waves, Int. J. Remote Sens., 2009, vol. 30, pp. 4581–4598.
Stepanyuk, I.A., Metody izmerenii morskikh vnutrennikh voln (Methods for Measuring Internal Sea Waves), St. Petersburg: RGGMU, 2002.
Zhao, Z., Klemas, V., Zheng, Q., Li, X., and Yan, X.H., Estimating parameters of a two-layer stratified ocean from polarity conversion of internal solitary waves observed in satellite SAR images, Remote Sens. Environ., 2004, vol. 92, pp. 276–287.
Funding
This study was supported by the Russian Foundation for Basic Research (project no. 14-01-00414) and grants of the Far East Branch of the Russian Academy of Sciences.
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Translated by E. Morozov
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Aleksanin, A.I., Kim, V. Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density. Izv. Atmos. Ocean. Phys. 55, 1098–1105 (2019). https://doi.org/10.1134/S0001433819090020
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DOI: https://doi.org/10.1134/S0001433819090020