CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation

CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation

Semantic segmentation of remote sensing images has been widely used in environmental protection, geological disaster discovery, and natural resource assessment. With the rapid development of deep learning, convolutional neural networks (CNNs) have dominated semantic segmentation, relying on their po...

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Bibliographic Details
Main Authors: Xin Chen, Dongfen Li, Mingzhe Liu, Jiaru Jia
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
segmentation
remote sensing
CNN
transformer
attention
Online Access:https://www.mdpi.com/2072-4292/15/18/4455

Internet

https://www.mdpi.com/2072-4292/15/18/4455

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