Coastline Identification from Remote-sensing Image Using Informative Vector Machine Learning
- 10.2991/ismems-16.2016.48How to use a DOI?
- Machine learning, Informative vector machine, Coastline identification
For a more rapid and accurate coastline identification method, this paper presents a method of coastline identification on remote-sensing image using Informative Vector Machine and then the coastline of Beihai Silver Beach in Guangxi has been identified. The results show that method of coastline identification on remote-sensing using Informative Vector Machine avoids the accuracy deficiency of the edge detection and threshold segmentation, and overcomes a series of open problems that difficulty in determining the optimal network topology structure in artificial neural network and the hyper-parameters in Support Vector Machine. The quick and accurate identification of coastline using the method has been realized which provides an efficient mean for the identification and monitoring of coastline
- © 2016, 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 - Guoshao Su AU - Xiaochun Hu AU - Liubin Yan AU - Yanming Liu PY - 2016/12 DA - 2016/12 TI - Coastline Identification from Remote-sensing Image Using Informative Vector Machine Learning BT - Proceedings of the International Symposium on Mechanical Engineering and Material Science PB - Atlantis Press SP - 283 EP - 287 SN - 2352-5401 UR - https://doi.org/10.2991/ismems-16.2016.48 DO - 10.2991/ismems-16.2016.48 ID - Su2016/12 ER -