Coastline Extraction on Remote Sensing Image Using Gaussian Process Classification

DOI

10.2991/icectt-15.2015.74How to use a DOI?

Keywords

Gaussian process classification, remote sensing image, coastline extraction

Abstract

For more rapid and accurate coastline extraction methods, this paper presents a method of coastline extraction on remote sensing image using Gaussian process classification and then the coastline in coastal waters of Beihai city in Guangxi has been extracted. The results show that coastline extraction on remote sensing image using Gaussian process classification overcomes a series of public problems about coastline extraction that over-learning and the limitations of poor generalization ability in small sample exist in Artificial Neural Network and hyper-parameters are difficult to choose for Support Vector Machine. At last, the success of coastline extraction provides a efficient computing method for measurement and identification of coastline.

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  - Xiaochuan Hu
AU  - Zihua Qin
AU  - Jinhuan Wang
AU  - Guoshao Su
PY  - 2015/11
DA  - 2015/11
TI  - Coastline Extraction on Remote Sensing Image Using Gaussian Process Classification
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 392
EP  - 395
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.74
DO  - 10.2991/icectt-15.2015.74
ID  - Hu2015/11
ER  -