A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration

Feature matching is a core step in multi-source remote sensing image registration approaches based on feature. However, for existing methods, whether traditional classical SIFT algorithm or deep learning-based methods, they essentially rely on generating descriptors from local regions of feature poi...

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Principais autores:	Chenbin Liang, Yunyun Dong, Changjun Zhao, Zengguo Sun
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2023-06-01
סדרה:	Remote Sensing
נושאים:	feature matching image registration coarse-to-fine matching transformer deep learning
גישה מקוונת:	https://www.mdpi.com/2072-4292/15/13/3243
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