CSD-GAN: Content and Style Decoupled Generative Adversarial Network for Unsupervised Multimodal Remote Sensing Image Change Detection

Multimodal change detection (CD) effectively improves the flexibility and timeliness of emergency response by exploiting complementary information from different sensors. However, significant differences in imaging modalities lead to a lack of comparability across multimodal images, posing a severe...

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Hlavní autoři:	Zhifu Zhu, Xiping Yuan, Shu Gan, Weidong Luo, Cheng Chen, Xuan Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Content and style decoupled cross-modal alignment multimodal change detection remote sensing image
On-line přístup:	https://ieeexplore.ieee.org/document/11544061/
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