Title :
Waterline information extraction from radial sand ridge of south yellow sea
Author_Institution :
East China Sea Marine Prediction Center, State Bur. of Oceanic Adm., Shanghai, China
Abstract :
The radial sand ridge of south yellow sea is the biggest in the world. It has unique combination of factors in dynamic geomorphology. In order to study the trend prediction of beach evolution in radial sand ridge, waterline, which is the best expression for the complex terrain of the seashore intertidal region, is indispensible for research in the region. The study gain the best method to extract the waterline exactly and clearly, by experiment for the combinations of some kinds of edge extracting algorithm and image binaryzation algorithm. The result of this study provides an effective processing method for tidal beach shape and landscape description.
Keywords :
feature extraction; geographic information systems; geophysical image processing; oceanographic regions; oceanographic techniques; remote sensing; beach evolution; dynamic geomorphology; edge extracting algorithm; image binaryzation algorithm; landscape description; radial sand ridge; remote sensing images; seashore intertidal region; south Yellow sea; tidal beach shape; waterline information extraction; Data mining; Image edge detection; Kernel; Laplace equations; Noise; Remote sensing; Sediments; radial sand ridge; waterline;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744038
