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Identification of Oceanic Eddies in Satellite Images

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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Abstract

Ellipse detection has been presented in scientific literature as a potential method for finding eddies in satellite images because eddies may be roughly approximated by ellipses. In the present work, therefore, we describe a method to identify eddies based on ellipse center detection. The centers are determined using ellipse fitting. The proposed method allows finding several eddies per satellite image, an ability not demonstrated by previously reported eddy detectors based on ellipse recognition in binary images. The low values of the temperature gradients off the Iberian Peninsula complicate the application of the detection method because they raise difficulties in the creation of binary images with proper eddy outline. Most algorithms previously reported in the scientific literature are not applicable to the present case.

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References

  1. Serra, N., Ambar, I.: Tracking Meddies in the NE Atlantic. In: CIESM, 2005. Strategies for understanding mesoscale processes, vol. 27, pp. 29–33 (2005)

    Google Scholar 

  2. Knight, J.R., Allan, R.J., Folland, C.K., Vellinga, M., Mann, M.E.: A signature of persistent natural thermohaline circulation cycles in observed climate. Geophysical Research Letters 32 (2005)

    Google Scholar 

  3. Paillet, J.: Central water vortices of the eastern North Atlantic. J. Phys. Oceanogr. 29, 2487–2503 (1999)

    Article  Google Scholar 

  4. Oliveira, P.B., Serra, N., Fiúza, A.F.G., Ambar, I.: A study of meddies using simultaneous in situ and satellite observations. In: Halpern, D. (ed.) Satellites, Oceanography and Society, vol. 63, pp. 125–148. Elsevier Science, Amsterdam (2000)

    Chapter  Google Scholar 

  5. McDowell, S.E., Rossby, H.T.: Mediterranean Water - Intense Mesoscale Eddy Off Bahamas. Science 202, 1085–1087 (1978)

    Article  Google Scholar 

  6. Pingree, R.D., Lecann, B.: A Shallow Meddy (a Smeddy) from the Secondary Mediterranean Salinity Maximum. J. Geophys. Res-Oceans 98, 20169–20185 (1993)

    Article  Google Scholar 

  7. Serra, N., Sadoux, S., Ambar, I., Renouard, D.: Observations and laboratory Modeling of meddy generation at Cape St. Vincent. J. Phys. Oceanogr. 32, 3–25 (2002)

    Article  Google Scholar 

  8. Serra, N., Ambar, I., Kase, R.H.: Observations and numerical modelling of the Mediterranean outflow splitting and eddy generation. Deep-Sea Res. Pt Ii 52, 383–408 (2005)

    Article  Google Scholar 

  9. Serra, N., Ambar, I.: Eddy generation in the Mediterranean undercurrent. Deep-Sea Res. Pt Ii 49, 4225–4243 (2002)

    Article  Google Scholar 

  10. Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 13, 146–165 (2004)

    Article  Google Scholar 

  11. Halir, R., Flusser, J.: Numerically Stable Direct Least Squares Fitting of Ellipses. In: Skala, V. (ed.) Proc. Int. Conf. in Central Europe on Computer Graphics, Visualization and Interactive Digital Media, pp. 125–132 (1998)

    Google Scholar 

  12. Fernandes, A., Nascimento, S.: Automatic water eddy detection in SST maps using random ellipse fitting and vectorial fields for image segmentation. In: Todorovski, L., Lavrač, N., Jantke, K.P. (eds.) DS 2006. LNCS (LNAI), vol. 4265, pp. 77–88. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Guang-rong, J., Bao-liang, L., Jian, W.: Object searching in scale-space. In: IEEE International Conference on system, man and cybernetics, vol. 1, pp. 565–569. IEEE, Los Alamitos (1999)

    Google Scholar 

  14. Alexanin, A.I., Alexanina, M.G.: Quantitative analysis of thermal sea surface structures on NOAA IR-images. In: Proceedings of CREAMS, Vladivostok, Russia, pp. 158–165 (2000)

    Google Scholar 

  15. Peckinpaugh, S.H., Holyer, R.J.: Circle Detection for Extracting Eddy Size and Position from Satellite Imagery of the Ocean. IEEE T. Geosci. Remote 32, 267–273 (1994)

    Article  Google Scholar 

  16. Holyer, R.J., Peckinpaugh, S.H.: Edge-Detection Applied to Satellite Imagery of the Oceans. IEEE T. Geosci. Remote 27, 46–56 (1989)

    Article  Google Scholar 

  17. Chaudhuri, A., Gangopadhyay, A., Balasubramanian, R., Ray, S.: Automated oceanographic feature detection from high resolution satellite images. In: Proceedings of the Seventh Iasted International Conference on Computer Graphics and Imaging, pp. 217–223 (2004)

    Google Scholar 

  18. Oram, J.J., McWilliams, J.C., Stolzenbach, K.D.: Gradient-based edge detection and feature classification of sea-surface images of the Southern California Bight. Remote Sens. Environ. 112, 2397–2415 (2008)

    Article  Google Scholar 

  19. Thonet, H., Lemonnier, B., Delmas, R.: Automatic segmentation of oceanic eddies on AVHRR thermal infrared sea surface images. In: Oceans 1995 Mts/IEEE - Challenges of Our Changing Global Environment, Conference Proceedings, vol. 1-3, pp. 1122–1127 (1995)

    Google Scholar 

  20. Krishnamurthy, S., Iyengar, S.S., Holyer, R., Lybanon, M.: Topographic-Based Feature Labeling for Infrared Oceanographic Images. Pattern Recogn. Lett. 14, 915–925 (1993)

    Article  MATH  Google Scholar 

  21. Ce, L., Du, Y.Y., Su, F.Z., Yang, X.M., Jun, X.: Spatial information recognizing of ocean eddies based on virtual force field and its application. Acta Oceanol. Sin. 26, 44–52 (2007)

    Google Scholar 

  22. Nichol, D.G.: Autonomous Extraction of an Eddy-Like Structure from Infrared Images of the Ocean. IEEE T. Geosci. Remote 25, 28–34 (1987)

    Article  Google Scholar 

  23. Yang, Q., Parvin, B., Mariano, A.: Singular features in sea surface temperature data. In: 15th International Conference on Pattern Recognition. Proceedings - Computer Vision and Image Analysis, vol. 1, pp. 516–520 (2000)

    Google Scholar 

  24. Torres, J., Guindos, F., Peralta, M., Canton, M.: Competitive neural-net-based system for the automatic detection of oceanic mesoscalar structures on AVHRR scenes. IEEE T. Geosci. Remote 41, 845–852 (2003)

    Article  Google Scholar 

  25. Castellani, M.: Identification of eddies from sea surface temperature maps with neural networks. Int. J. Remote Sens. 27, 1601–1618 (2006)

    Article  Google Scholar 

  26. Machado, G.J.M.: Visualização e análise de vórtices de água em mapas térmicos da superficie oceânica. Master thesis in computer science. Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (2007)

    Google Scholar 

  27. Carvalho, P., Costa, N., Ribeiro, B., Dourado, A.: On The Use Of Neural Networks And Geometrical Criteria For Localisation Of Highly Irregular Elliptical Shapes

    Google Scholar 

  28. Zhang, S.C., Liu, Z.Q.: A robust, real-time ellipse detector. Pattern Recogn. 38, 273–287 (2005)

    Article  MATH  Google Scholar 

  29. Kim, E., Haseyama, M., Kitajima, H.: Fast and Robust Ellipse Extraction from Complicated Images (2002)

    Google Scholar 

  30. Ho, C.T., Chen, L.H.: A high-speed algorithm for elliptical object detection. IEEE T. Image Process 5, 547–550 (1996)

    Article  Google Scholar 

  31. Rad, A., Faez, K., Qaragozlou, N.: Fast Circle Detection Using Gradient Pair Vectors. In: Sun, C., Talbot, H., Ourselin, S., Adriaansen, T. (eds.) Proc. VIIth Digital Image Computing: Techniques and Applications, Sydney (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. CENTRIA – Centre for Artificial Intelligence, Universidade Nova Lisboa, Quinta da Torre, 2829-516, Caparica, Portugal

    Armando Manuel Fernandes

Authors
  1. Armando Manuel Fernandes
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

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© 2008 Springer-Verlag Berlin Heidelberg

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Fernandes, A.M. (2008). Identification of Oceanic Eddies in Satellite Images. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_7

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  • DOI: https://doi.org/10.1007/978-3-540-89646-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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