Texture and structure interaction guided generative adversarial network for multimodal remote sensing image change detection

Generative adversarial networks (GANs) possess powerful image translation capabilities. They can transform images acquired from different sensors into a unified domain, effectively mitigating the incomparability problem caused by imaging discrepancies in multimodal remote sensing change detection (C...

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Autors principals:	Zhifu Zhu, Xiping Yuan, Shu Gan, Raobo Li, Weidong Luo, Rui Bi, Cheng Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-12-01
Col·lecció:	GIScience & Remote Sensing
Matèries:	Multimodal CD image translation fine-grained details texture and structural features interaction guided
Accés en línia:	https://www.tandfonline.com/doi/10.1080/15481603.2025.2565866
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