Swin Transformer Embedding Dual-Stream for Semantic Segmentation of Remote Sensing Imagery

Swin Transformer Embedding Dual-Stream for Semantic Segmentation of Remote Sensing Imagery

The acquisition of global context and boundary information is crucial for the semantic segmentation of remote sensing (RS) images. In contrast to convolutional neural networks (CNNs), transformers exhibit superior performance in global modeling and shape feature encoding, which provides a novel aven...

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Bibliographic Details
Main Authors: Xuanyu Zhou, Lifan Zhou, Shengrong Gong, Shan Zhong, Wei Yan, Yizhou Huang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dual-stream
remote sensing (RS)
semantic segmentation
Swin transformer
Online Access:https://ieeexplore.ieee.org/document/10294282/

Internet

https://ieeexplore.ieee.org/document/10294282/

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