Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images

Deep learning has emerged as the preferred method for remote sensing change detection owing to its ability to automatically extract discriminative features from bitemporal images. However, few methods simultaneously consider heterogeneous appearance of objects and affine geometric difference between...

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Principais autores:	Feng Zhou, Xinyu Zhang, Hui Shuai, Renlong Hang, Shanshan Zhu, Tianyu Geng
格式:	Artigo
語言:	Inglês
出版:	IEEE 2025-01-01
叢編:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Appearance difference change detection contrastive loss feature alignment geometric difference
在線閱讀:	https://ieeexplore.ieee.org/document/10830007/
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