Local-Global Feature Capture and Boundary Information Refinement Swin Transformer Segmentor for Remote Sensing Images
Author:
Affiliation:
1. School of Electrical Engineering, Guangxi University, Nanning, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10382529.pdf?arnumber=10382529
Reference48 articles.
1. MANet: Multi-Scale Aware-Relation Network for Semantic Segmentation in Aerial Scenes
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4. A Weakly Supervised Semantic Segmentation Approach for Damaged Building Extraction From Postearthquake High-Resolution Remote-Sensing Images
5. Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Transformer-based multi-modal fusion network for semantic segmentation of high-resolution remote sensing imagery;International Journal of Applied Earth Observation and Geoinformation;2024-09
2. MFAFNet: A Multiscale Fully Attention Fusion Network for Remote Sensing Image Semantic Segmentation;IEEE Access;2024
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