Edge Detection in Remote Sensing Image Based on the Advanced Snake Algorithm

DOI

10.2991/rsete.2013.208How to use a DOI?

Keywords

Advanced snake algorithm, gradient orientation, edge detection, the Yalu River

Abstract

The paper takes an advanced snake algorithm to make research on the edge detection in order to improve the automatic analysis of the computer and select the objects interested in the remote sensing image. Edge detection by the algorithm is the process of image gradient characteristic, continuity, flatness, and shape information constrained into an energy function. We can achieve the goal of objective selection by calculation the minimum of the energy function. In the water quality monitoring of the Yalu River, the effectiveness of the proposed method and its value of practicality can be confirmed.

Copyright

© 2013, 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  - Yu Xueqin
AU  - Li Guanshi
AU  - Zhang Tao
AU  - Jiang Ling
PY  - 2013/08
DA  - 2013/08
TI  - Edge Detection in Remote Sensing Image Based on the Advanced Snake Algorithm
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 858
EP  - 861
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.208
DO  - 10.2991/rsete.2013.208
ID  - Xueqin2013/08
ER  -