Resumen:
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[EN] Bathymetry is traditionally obtained by echo sounding technology. However, bathymetry can
be also obtained from satellite imaging, which is much more cheaper than echo-sound measurements. This is obtained by analyzing ...[+]
[EN] Bathymetry is traditionally obtained by echo sounding technology. However, bathymetry can
be also obtained from satellite imaging, which is much more cheaper than echo-sound measurements. This is obtained by analyzing the waves near to the shoreline. In order so, wave
properties such as wavelength and celerity should be measured, after which the bathymetry is
estimated using linear wave theory. In this internship a new method based in the continuous
wavelet transform has been implemented. In order to obtain the celerity, two images with a
time lag are needed. Two data sets are used. On the one hand a video product, with 12 Pléiades
images with a time lag between them of 8s. On the other hand a set of Sentinel-2 images. In the
latter, a time shift between bands because of a lag in the acquisition is exploited. An application
for the extraction and preparation of Sentinel-2 data in a form of a Graphical User Interface has
been implemented. The site that has been studied will be the shore of Capbreton, which hosts
one of the world’s deepest canyons. The images have been be pre-filtered by using FFT and
Radon filters, with several methods that include windowing of fixed and variable size. Those
filtering techniques have be implemented and its results compared. Best results are obtained
using a variable-size windowing technique. Finally, the wavelet method has been applied to
both datasets to achieve wave propagation information.
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