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

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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Bibliographic Details
Main Authors: Chenbin Liang, Yunyun Dong, Changjun Zhao, Zengguo Sun
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
feature matching
image registration
coarse-to-fine matching
transformer
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/13/3243

Internet

https://www.mdpi.com/2072-4292/15/13/3243

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