Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation

Coastline Extraction on Remote Sensing Image Using Gaussian Process Classification

Authors
Xiaochuan Hu, Zihua Qin, Jinhuan Wang, Guoshao Su
Corresponding Author
Xiaochuan Hu
Available Online November 2015.
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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Volume Title
Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
10.2991/icectt-15.2015.74
ISSN
2352-5401
DOI
10.2991/icectt-15.2015.74How to use a DOI?
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/).

Cite this article

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  -