Natural Disaster Detection Using Wavelet and Artifiial Neural Network
| Main Authors: | Santoso, Albertus Joko, Dewi, Findra Kartika Sari, Sidhi, Thomas Adi Pumomo |
|---|---|
| Format: | Article PeerReviewed Book |
| Terbitan: |
IEEE
, 2015
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| Subjects: | |
| Online Access: |
http://e-journal.uajy.ac.id/11647/1/SAI%20isi.pdf http://e-journal.uajy.ac.id/11647/ |
Daftar Isi:
- Indonesia, by the location of its geographic and geologic,it have more potential encounters for natural disasters. This nation is traversed by three tectonic plates, namely: Indo-Australian, the Eurasian and the Pacific plates. One of the tools employed to detecte danger and send an early disaster warning is sensor device for ocean waves, but it has drawbacks related to the very limited time gap between information/warnings obtained and the real disaster event, which is only less than 30 minutes. Natural disaster early detection information system is essential to prevent potential danger. The system can make use of the pattern recognition of satellite imagery sequence that take place before and during the natural disaster. This study is conducted to compress the satellite images sequences and to perform the pattern recognition process of a natural disaster employing an artificial neural network. This study makes use of satellite imagerys equences of tornadoes and hurricanes.