DANet-SMIW: An Improved Model for Island Waterline Segmentation Based on DANet
Author:
Affiliation:
1. Shanghai Ocean University, Shanghai, China
2. Eye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China
Funder
Fujian Provincial Key Laboratory of Coast and Island Management Technology Study
Shanghai Ocean Bureau Research Project
Capacity Development for Local College Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10316593.pdf?arnumber=10316593
Reference54 articles.
1. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods
2. Detection of coastlines in SAR images using wavelet methods
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4. Efficient sea–land segmentation using seeds learning and edge directed graph cut
5. SANet: A Sea–Land Segmentation Network Via Adaptive Multiscale Feature Learning
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