TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images

TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images

Semantic segmentation of remote sensing images plays a critical role in areas such as urban change detection, environmental protection, and geohazard identification. Convolutional Neural Networks (CNNs) have been excessively employed for semantic segmentation over the past few years; however, a limi...

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Bibliographic Details
Main Authors: Xuyang Xiang, Wenping Gong, Shuailong Li, Jun Chen, Tianhe Ren
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional Neural Network (CNN)
feature fusion
remote sensing images
semantic segmentation
Transformer
Online Access:https://ieeexplore.ieee.org/document/10380661/

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