MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection

MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection

The integration of a convolutional neural network (CNN) and a Transformer has become a dominant framework for change detection (CD) in remote sensing images, because of its ability to effectively model both local and global features. However, existing methods still face challenges in extracting feat...

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Bibliographic Details
Main Authors: Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
convolutional neural network (CNN)
multiscale features
remote sensing images
transformer
Online Access:https://ieeexplore.ieee.org/document/11072321/
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https://ieeexplore.ieee.org/document/11072321/

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