Transformer Self-Attention Change Detection Network with Frozen Parameters

Transformer Self-Attention Change Detection Network with Frozen Parameters

The purpose of change detection is to recognize changed areas from a pair of two remote sensing images. However, since change areas often include multiple terrain features, this demands enhanced feature extraction capability from the model. This paper proposes a frozen-parameter Transformer self-att...

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Bibliographic Details
Main Authors: Peiyang Cheng, Min Xia, Dehao Wang, Haifeng Lin, Zikai Zhao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
change detection
remote sensing
transformer
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/6/3349
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