APPLICATION OF REMOTE SENSING IMAGES FOR NATURAL DISASTER MITIGATION USING WAVELET BASED PATTERN RECOGNITION ANALYSIS

During the past few decades there has been atremendous 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.