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

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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Hlavní autoři: Qinyan Zeng, Bin Hui, Zhaoji Liu, Zheng Xu, Miao He
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2025-02-01
Edice:Sensors
Témata:
image matching
remote sensing
discrete cosine transformation
channel attention
sparse attention
On-line přístup:https://www.mdpi.com/1424-8220/25/5/1345

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https://www.mdpi.com/1424-8220/25/5/1345

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