Research on Coastline Automatic Extraction Methods Based on Remote Sensing Images

DOI

10.2991/itms-15.2015.165How to use a DOI?

Keywords

morphological approach; coast line; automatic extraction methods; remote sensing

Abstract

In view of the characters of mouth area, such as wide area shallow muddy water and mud deposit coast, morphological automatic algorithm based on wavelet transformation is introduced. The first step of this method is differentiating vegetation from soil effectively by spectrum spatial revolution, with linear transformation it is done in multi spectrum space formed by remote sensing images. Image noise is eliminated with multi scale and direction image noise elimination method which is based on wavelet transformation. Coast line is extracted rapidly, with combination abstracted mud spatial distribution data in shallow sea water, in this step we use image divide automatic seek seed point, rapid increasing algorithm smooth-edged, edge tracing methods etc. The algorithm we used has the following advantages such as computing rapidly, high automation, small personal effect, it supplies effective comparison coast line data for the continuously analysis.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Tian
AU  - Wensong Liu
PY  - 2015/11
DA  - 2015/11
TI  - Research on Coastline Automatic Extraction Methods Based on Remote Sensing Images
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 699
EP  - 705
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.165
DO  - 10.2991/itms-15.2015.165
ID  - Tian2015/11
ER  -