Application of remote sensing images for natural disaster mitigation using wavelet based pattern recognition analysis

During the past few decades there has been a tremendous increase in natural disasters and its effect on population and economy. Adverse events, such as cyclones, tornadoes, floods, volcanic eruptions, earthquakes, tsunamis, etc., turns into a disaster when it strikes in an area of vulnerable population. Immediate tracking of the damaged location provides near-instant help to the injured and also facilitates appropriate maintenance to damaged structures. The recent advances in the remote sensing area have accelerated the availability of satellite/aerial image data worldwide with ease. Advancement in the remote sensing area, especially after the rapid availability of satellite/aerial image data supplemented with the development in the computational field has been utilized in this paper to achieve the goal of faster automatic natural disaster location identification. Satellite/aerial imageries are used to acquire the data of the damaged location from an eagle-eye perspective and the application of the wavelet based pattern recognition and latest image processing techniques are used for identifying locations of major natural disasters like cyclones, tornadoes and floods.

[1]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[2]  Yuan Yan Tang,et al.  Edge Extraction of Images by Reconstruction Using Wavelet Decomposition Details at Different Resolution Levels , 2000, Int. J. Pattern Recognit. Artif. Intell..

[3]  Fumio Yamazaki,et al.  Automated detection of damaged buildings using aerial HDTV images , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[4]  Masashi Matsuoka,et al.  Characteristics of satellite SAR images in the areas damaged by earthquakes , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[5]  Hajime Mitomi,et al.  Automated damage detection of buildings from aerial television images of the 2001 Gujarat, India earthquake , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[6]  Lixin Shen,et al.  Biorthogonal wavelet system for high-resolution image reconstruction , 2004, IEEE Transactions on Signal Processing.

[7]  Lakshminarasimhan Sampath Image based assessment of windstorm damage / by Lakshminarasimhan V. Sampath. , 2004 .

[8]  Sugumaran,et al.  Fault diagnosis of a taper roller bearing through histogram features and proximal support vector machines , 2006 .

[9]  F. Alagoz,et al.  Post-Earthquake Damage Assessment using Satellite Imagery , 2007, 2007 IEEE International Conference on Signal Processing and Communications.

[10]  Soe W. Myint,et al.  Comparison of Remote Sensing Image Processing Techniques to Identify Tornado Damage Areas from Landsat TM Data , 2008, Sensors.

[11]  De Groeve Tom,et al.  Early Flood Detection and Mapping for Humanitarian Response , 2009 .

[12]  V. Sugumaran,et al.  Precise wavelet for current signature in 3phi IM , 2010, Expert Syst. Appl..

[13]  S. Radhika,et al.  Use of post-storm images for automated tornado-borne debris path identification using texture-wavelet analysis , 2012 .

[14]  M. Matsui,et al.  Texture-wavelet analysis for automating wind damage detection from aerial imageries , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[15]  Yukio Tamura,et al.  Cyclone damage detection on building structures from pre- and post-satellite images using wavelet based pattern recognition , 2015 .