Difference-Focusing Fusion Decision Method: An Ensemble Learning Framework and Its Application in Improving Deep Learning Sea–Land Segmentation for Waterline Extraction in Synthetic Aperture Radar Imagery
Author:
Affiliation:
1. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
2. College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China
Funder
Zhejiang Provincial Natural Science Foundation of China
National Natural Science Foundation of China
Scientific Research Fund of the Second Institute of Oceanography, Ministry of Natural Resources
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/36/10354519/10639443.pdf?arnumber=10639443
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3. A comparative study of coastline changes at Tampa Bay and Xiangshan Harbor during the last 30 years
4. A simple waterline approach for tidelands using multi-temporal satellite images: A case study in the Yangtze Delta
5. Detecting coastline change from satellite images based on beach slope estimation in a tidal flat
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