CSCNet: A Cross-Scale Coordination Siamese Network for Building Change Detection

Remote sensing image change detection (CD) has witnessed remarkable performance improvements with the guidance of deep learning models, particularly convolutional neural networks and transformers. Current CD methods heavily rely on multilayered backbone structures, such as ResNet and Unet, for featu...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.1377-1389
Hauptverfasser:	Zhao, Yiyang, Song, Xinyang, Li, Jinjiang, Liu, Yepeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregation Artificial neural networks Change detection Context modeling Convolutional neural network (CNN) Convolutional neural networks Coordination cross-scale coordinated Decoding Deep learning Detection Feature extraction Information processing Machine learning Modules Neural networks Remote sensing remote sensing change detection (CD) Task analysis transformer Transformers
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