Dual-Branch Feature Interaction Network for Coastal Wetland Classification Using Sentinel-1 and 2
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
2. Observation and Research Station of Bohai Strait Eco-Corridor, MNR, Qingdao, China
Funder
Open Fund for Observation and Research Station of Bohai Strait Eco-Corridor
Fundamental Research Funds for the Central Universities
Shandong Provincial Colleges and Universities Youth Innovation Technology Support Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10631667.pdf?arnumber=10631667
Reference56 articles.
1. Mapping Coastal Wetlands Using Transformer in Transformer Deep Network on China ZY1-02D Hyperspectral Satellite Images
2. Tracking changes in coastal land cover in the Yellow Sea, East Asia, using Sentinel-1 and Sentinel-2 time-series images and Google Earth Engine
3. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
4. Remote sensing for wetland classification: a comprehensive review
5. Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data
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