Cyclone damage detection on building structures from pre- and post-satellite images using wavelet based pattern recognition

Journal of Wind Engineering and Industrial Aerodynamics

Volumn 136, Issue , 2015, Pages 23-33

  Radhika, Sudha ^a   Tamura, Yukio ^b,c   Matsui, Masahiro ^b,c  

^a GEETHANJALI COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c TOKYO POLYTECHNIC UNIVERSITY   (Japan)

Author keywords

Artificial neural network; Hurricane; Pre and post storm satellite images; Support vector machine (SVM); Texture wavelet analysis; Wavelet based change detection method

Indexed keywords

BUILDINGS; DISASTERS; EDGE DETECTION; HURRICANES; NEURAL NETWORKS; ROOFS; SATELLITES; STORMS; SUPPORT VECTOR MACHINES; TEXTURES; WAVELET ANALYSIS;

BUILDING STRUCTURAL; CHANGE DETECTION; COMPARISON ANALYSIS; CONVENTIONAL METHODS; IDENTIFICATION METHOD; RAPID IDENTIFICATION; SATELLITE IMAGES; STATISTICAL FEATURES;

DAMAGE DETECTION;

EID: 84911440821     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jweia.2014.10.018     Document Type: Article

References (27)

1. Akhtar Pervez, Ali, T.J., Bhatti, M.I., Muqeet, M.A., A framework for edge detection and linking using wavelets and image fusion. In: Proceedings of the 2008 Congress on Image and Signal Processing, 2008, vol. 1, pp. 273-277.
2. Ambrosia V.G., Buechel W.W., Brass J.A., Peterson J.R., Davies R.H., Kane R.J., Spain S. An integration of remote sensing, GIS, and information distribution for wildfire detection and management. J. Am. Soc. Photogramm. Remote Sens. 1998, 64:977-985.
3. Canny, J., 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8, No. 6, Nov, 679-698.
4. Danneels, G., Havenith, H., Strom, A., Pirard, E. 2008. Landslide detection methods, inventory analysis and susceptibility mapping applied to the Tien Shan Kyrgyz Republic. In: Proceedings of the First World Landslide Forum, Tokyo, pp. 426-429.
5. Douglas, H. and Pillay, P., The impact of wavelet selection on transient Motor Current Signature Analysis, Proceedings of IEEE International Electric Machines and Drives Conference (IEMDC'05), San Antonio, Texas, 15-18 May, 2005, pp. 80-85, ISBN: 0-7803-8987-5.
6. Feng L., Suen C.Y., Tang Y.Y., Yang L.H. Edge extraction of images by reconstruction using wavelet decomposition details at different resolution levels. Int. J. Pattern Recognit. Artif. Intell. 2000, 14(6):779-793.
7. Gonzalo Pajares, Manuel Jesús, de la Cruz A wavelet-based image fusion tutorial. J. Pattern Recognit. 2004, 37:1855-1872.
8. Groeve, T., Riva, P., 2009. Early flood detection and mapping for humanitarian response. In: Proceedings of the 6th International ISCRAM Conference, Gothenburg, Sweden.
9. Hasegawa, H., Aoki, H., Yamazaki, F., Matsuoka M., Sekimoto, I., 2000. Automated detection of damaged buildings using aerial HDTV images. In: Proceedings of the IEEE 2000 International Geosciences and Remote Sensing Symposium, IEEE, CD-ROM, pp. 310-312.
10. Lakshminarasimhan V.S. Image Based Assessment of Windstorm Damage 2004, Texas Tech University, Texas, (Thesis).
11. Lixin Sheny, Qiyu Sun Bi-orthogonal wavelet system for high-resolution image reconstruction. IEEE Trans. Signal Process. 2004, 52(7):1997-2011.
12. Matsuoka M., Yamazaki F. Characteristics of satellite SAR images in the areas damaged by earthquakes. Proc. IEEE 2000 Int. Geosci. Remote Sens. Symp. 2000, 6:2693-2696.
13. Mitomi H., Saita J., Matsuoka M., Yamazaki F. Automated damage detection of buildings from aerial television images of the 2001 Gujarat, India earthquake. Proc. IEEE 2000 Int. Geosci. Remote Sens. Symp. 2001, 147-149.
14. Otsu Nobuyuki A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 1979, 9(1):62-66.
15. Ozisik, D., 2004. Post earthquake damage assessment using satellite and aerial video imagery (Thesis), Netherlands.
16. Radhika S., Sabareesh G., Jagadanand R., Sugumaran V.G. Precise wavelet for current signature in 3 phase IM. J. Expert Syst. Appl. 2009, 37:450-455.
17. Radhika, S., Tamura, Y., Matsui, M., 2010. Using wavelets as an effective alternative tool for wind disaster detection from satellite images. In: Proceedings of Computational Wind Engineering, North Carolina, USA, May 23-27.
18. Radhika, S., Tamura, Y., Matsui, M., 2011. Automated detection of tornado damage to building structures from aerial imageries using color invariant features. In: Proceedings of 13th International Conference on Wind Engineering, Amsterdam, Netherlands, July 10-15.
19. Radhika S., Tamura Y., Matsui M. Use of post-storm images for automated tornado-borne debris path identification using texture-wavelet analysis. J. Wind Eng. Ind. Aerodyn. 2012, 107:202-213.
20. Radhika, S., Tamura, Y., Matsui M., 2013. Texture-wavelet analysis for automating wind damage detection from aerial imageries. In: Proceedings of the IEEE International Advance Computing Conference, IACC, 2013, Ghaziabad, India.
21. Sabareesh, G.R., Sugumaran, V., Ramachandran, K.I., 2006. Fault diagnosis of a taper roller bearing through histogram features and proximal support vector machines. In: Proceedings of IEEE International Conference on Signal and Image Processing, Hubli, India.
22. Soe W.M., May Y., Randall S.C., Chandra P.G. Comparison of remote sensing image processing techniques to identify tornado damage areas from LandSat TM data. Sensors 2008, 8:1128-1156.
23. Sumer, E., Turker, M., 2004. Building damage detection from post-earthquake aerial images using watershed segmentation in Golcuk, Turkey. In: Proceedings of XXth International Society for Photogrammetry and Remote Sensing (ISPRS'04) Congress, Commission VII, Istanbul, Turkey, July 12-23.
24. Thomas, L., Nancy, P., Jonathan, C., Robert, G., Kelley, L., Timothy, O., 2002. Assessing tornado damage via analysis of multi temporal LandSat 7 ETM+ data. In: Proceedings of Annual conference of the American society for Photogrammetry and Remote sensing (ASPRS), Washington, DC, April 21-27.
25. Vu, T.T., Matsuoka, M., Yamazaki, F., 2005. Shadow analysis in assisting damage detection due to earthquakes from QuickBird imagery. Commission VII, WG II/5.
26. Womble, J.A., 2005. Remote-sensing applications to windstorm damage assessment (Thesis), Texas.
27. Womble, J.A., Adams, B.J., Mehta, K.C., 2007. Automated building damage assessment using remote sensing imagery. In: Proceedings of the ASCE/SEI Structures Congress, Long Beach, CA.