Abstract
Damage prediction of typhoons or hurricanes is an intractable task. It needs complete meteorological information and disaster condition evaluation. It also depends heavily on the experiences of the government and evaluator. Different angles and characteristics of typhoons may cause different degrees of damage. It is a difficult task for the government to predict the possible damages correctly. This paper proposes an intelligent typhoon damage prediction system from aerial photographs. The system uses wavelet transformation, support vector machines, and fuzzy neural networks for image compression, classifi-cation, and error correction. The system then uses case-based reasoning and fuzzy damage measurement to compute possible damages to agricultural products and inhabitants. Jaiosi, Taiwan is a place used by the system as an example to illustrate its functionality. The experiment shows that the system can find important surface features from aerial photographs as well as predict possible typhoon damage correctly.
This work is partly supported by National Science Council of ROC under grants NSC 95-2745-E-030-004- URD.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2(1), 121–167 (1998)
Chen, K.S., Wang, J.T., Mitnik, L.M.: Satellite and Ground Observations of the Evolution of Typhoon Herb near Taiwan. Remote Sensing of Environment 75(3), 397–411 (2001)
Cui, L., Wang, S., Sun, X.: The Application of Wavelet Analysis and Audio Compression Technology in Digital Audio Watermarking. In: Proceedings of the IEEE International Conference on Neural Networks and Signal Processing, pp. 1533–1537 (2003)
Central Weather Bureau, Meteorological Bulletin, Central Weather Bureau, Ministry of Transportation and Communications (2006), Available at http://photino.cwb.gov.tw/rdcweb/lib/cd/cd07mb/index.htm
Foody, G.M., Mathur, A.: A Relative Evaluation of Multiclass Image Classification by Support Vector Machines. IEEE Transaction on Geosciences and Remote Sensing 42(6), 1335–1343 (2004)
Huang, C., Davis, L.S., Townshend, J.R.G.: An Assessment of Support Vector Machines for Land Cover Classification. International Journal of Remote Sensing 23(4), 725–749 (2002)
Kitamoto, A.: Spatio-temporal Data Mining for Typhoon Image Collection. Journal of Intelligent Information Systems 19(1), 25–41 (2002)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Mateo (1993)
Lee, C.-S., Guo, S.-M., Hsu, C.-Y.: Genetic-based Fuzzy Image Filter and Its Application to Image Processing. IEEE Transactions on Man and Cybernetic 35(4), 694–711 (2005)
Lee, T.L.: Neural Network Prediction of a Storm Surge. Ocean Engineering 33(4), 483–494 (2006)
Lenz, M., Bartsch, S.B., Wess, S.: Case-Based Reasoning Technology, from Foundations to Applications. Springer, Berlin (1998)
Melgani, F., Bruzzone, L.: Classification of Hyperspectral Remote Sensing Images With Support Vector Machines. IEEE Transactions on Geosciences and Remote Sensing 42(8), 1778–1790 (2004)
Qu, Y., Adam, B.-L., Thornquist, M., Potter, J.D., Thompson, M.L., Yasui, Y., Davis, J., Schellhammer, P.F., Cazares, L., Clements, M.A., Wright, G.L., Feng, Z.: Data Reduction using a Discrete Wavelet Transform in Discriminate Analysis of Very High Dimensionality Data. Biometrics 59(1), 143–151 (2003)
Sakai, R.: A History and Future Plan for Numerical Typhoon Prediction at JMA, (2006), Available at http://www.bom.gov.au/bmrc/basic/wksp16/papers/Sakai.pdf
Thuillard, M.: Wavelets in Soft Computing. World Scientific Publishing, NJ (2001)
Wang, B., Zhang, L.M.: Supervised Texture Segmentation using Wavelet Transformation. In: Proceedings of the IEEE International Conference on Neural Networks and Signal Processing, pp. 1078–1082 (2003)
Zhang, J., Dong, J., Shi, M.: An Adaptive Method for Image Filtering with Pulsed-Coupled Neural Networks. Proceedings of the IEEE International Conference on Image Processing 2, 11–14 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hsu, CC., Hong, ZY. (2007). An Intelligent Typhoon Damage Prediction System from Aerial Photographs. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_92
Download citation
DOI: https://doi.org/10.1007/978-3-540-74819-9_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
Online ISBN: 978-3-540-74819-9
eBook Packages: Computer ScienceComputer Science (R0)