CMLFormer: CNN and Multiscale Local-Context Transformer Network for Remote Sensing Images Semantic Segmentation

CMLFormer: CNN and Multiscale Local-Context Transformer Network for Remote Sensing Images Semantic Segmentation

The characteristics of remote sensing images, such as complex ground objects, rich feature details, large intraclass variance and small interclass variance, usually require deep learning semantic segmentation methods to have strong feature learning representation ability. Due to the limitation of co...

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Bibliographic Details
Main Authors: Honglin Wu, Min Zhang, Peng Huang, Wenlong Tang
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)
multiscale
remote sensing images
semantic segmentation
transformer
Online Access:https://ieeexplore.ieee.org/document/10465603/

Internet

https://ieeexplore.ieee.org/document/10465603/

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