Coastline Extraction on Remote Sensing Image Using Gaussian Process Classification
- 10.2991/icectt-15.2015.74How to use a DOI?
- Gaussian process classification, remote sensing image, coastline extraction
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.
- © 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 -