Abstract
A cumulative sum feature extraction algorithm for anomaly analysis before earthquake is proposed by using the cumulative sum feature extraction algorithm. The analysis results reveal that the anomalous variations exist prior to the earthquakes. The methods studied in this work include cumulative sum, smooth using the Technology of Locally weighted smoothing and compute feature points. These methods have been applied to analyze the anomaly from OLR data that correspond to seismic precursors, particularly to a comparative study of the two earthquakes of Wenchuan in China and one earthquake in eastern Japan.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
