Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Shoreline-mapping tasks using remotely sensed image sources were carried out using the machine learning techniques or using water indices derived from image sources.
This research compared two different methods for mapping accurate shorelines using the high-resolution satellite image acquired in Hwado Island, South Korea.
The first shoreline was generated using a water-index-based method proposed in previous research, and the second shoreline was generated using a machine-learning-based method proposed in this research.
The statistical results showed that both shorelines had high accuracies in the well-identified coastal zones while the second shoreline had better accuracy than the first shoreline in the coastal zones with irregular shapes and the shaded areas not identified by the water-index-based method.
Both shorelines, however, had low accuracies in the coastal zones with the shaded areas not identified by both methods.
American Psychological Association (APA)
Choung, Yun-Jae& Jo, Myung-Hee. 2017. Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea. Journal of Sensors،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1187478
Modern Language Association (MLA)
Choung, Yun-Jae& Jo, Myung-Hee. Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea. Journal of Sensors No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1187478
American Medical Association (AMA)
Choung, Yun-Jae& Jo, Myung-Hee. Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1187478
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187478