A CNN-Transformer Network Combining CBAM for Change Detection in High-Resolution Remote Sensing Images

A CNN-Transformer Network Combining CBAM for Change Detection in High-Resolution Remote Sensing Images

Current deep learning-based change detection approaches mostly produce convincing results by introducing attention mechanisms to traditional convolutional networks. However, given the limitation of the receptive field, convolution-based methods fall short of fully modelling global context and captur...

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Bibliographic Details
Main Authors: Mengmeng Yin, Zhibo Chen, Chengjian Zhang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
change detection
transformer
convolutional neural networks (CNN)
convolutional block attention module (CBAM)
attention mechanisms
Online Access:https://www.mdpi.com/2072-4292/15/9/2406

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https://www.mdpi.com/2072-4292/15/9/2406

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