Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation

Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation

In the context of fast progress in deep learning, convolutional neural networks have been extensively applied to the semantic segmentation of remote sensing images and have achieved significant progress. However, certain limitations exist in capturing global contextual information due to the charact...

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Bibliographic Details
Main Authors: Yan Chen, Quan Dong, Xiaofeng Wang, Qianchuan Zhang, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Global cross fusion
hybrid attention
remote sensing image
semantic segmentation
Transformer
Online Access:https://ieeexplore.ieee.org/document/10416333/

Internet

https://ieeexplore.ieee.org/document/10416333/

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