Waterline information extraction from radial sand ridge of south yellow sea

Author

Ping Qin

Author_Institution

East China Sea Marine Prediction Center, State Bur. of Oceanic Adm., Shanghai, China

Volume

01

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

459

Lastpage

463

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2013 6th International Congress on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-2763-0

Type

conf

DOI

10.1109/CISP.2013.6744038

Filename

6744038