Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 525-528, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/525/2016/
doi:10.5194/isprs-archives-XLI-B1-525-2016
 
03 Jun 2016
TSUNAMI LEAD WAVE RECONSTRUCTION BASED ON NOISY SEA SURFACE HEIGHT MEASUREMENTS
Kegen Yu School of Geodesy and Geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China
Keywords: Tsunami lead wave reconstruction, Wavelet theory, Sea surface height measurement, GNSS reflectometry Abstract. This paper presents a Tsunami lead wave reconstruction method using noisy sea surface height (SSH) measurements such as observed by a satellite-carried GNSS reflectometry (GNSS-R) sensor. It is proposed to utilize wavelet theory to mitigate the strong noise in the GNSS-R based SSH measurements. Through extracting the noise components by high-pass filters at decomposition stage and shrinking the noise by thresholding prior to reconstruction, the noise is greatly reduced. Real Tsunami data based simulation results demonstrate that in presence of SSH measurement error of standard deviation 50 cm the accuracy in terms of root mean square error (RMSE) of the lead wave height (true value 145.5 cm) and wavelength (true value 592.0 km) estimation is 21.5 cm and 56.2 km, respectively. The results also show that the proposed wavelet based method considerably outperforms the Kalman filter based method on average. The results demonstrate that the proposed wave reconstruction approach has the potential for Tsunami detection and parameter estimation to assist in achieving reliable Tsunami warning.
Conference paper (PDF, 664 KB)


Citation: Yu, K.: TSUNAMI LEAD WAVE RECONSTRUCTION BASED ON NOISY SEA SURFACE HEIGHT MEASUREMENTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 525-528, doi:10.5194/isprs-archives-XLI-B1-525-2016, 2016.

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