A Method Combining Discrete Cosine Transform with Attention for Multi-Temporal Remote Sensing Image Matching

Multi-temporal remote sensing image matching is crucial for tasks such as drone positioning under satellite-denial conditions, natural disaster monitoring, and land-cover-change detection. However, the significant differences between multi-temporal images often lead to the reduced accuracy or even f...

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Detalles Bibliográficos

Principais autores:	Qinyan Zeng, Bin Hui, Zhaoji Liu, Zheng Xu, Miao He
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-02-01
Series:	Sensors
Assuntos:	image matching remote sensing discrete cosine transformation channel attention sparse attention
Acceso en liña:	https://www.mdpi.com/1424-8220/25/5/1345
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