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A nonrigid registration deep-learning model for solar photosphere images using a hybrid cross-attention mechanism

Mengwei Ban Rui Wang Zhi Xu Zhongyan Liu Xudong Nan

Astronomical Techniques and Instruments2026，Vol.3Issue(2)：P.112-120,9.

Astronomical Techniques and Instruments2026，Vol.3Issue(2)：P.112-120,9.DOI:10.61977/ati2025043

A nonrigid registration deep-learning model for solar photosphere images using a hybrid cross-attention mechanism

Mengwei Ban ¹Rui Wang ²Zhi Xu ³Zhongyan Liu ¹Xudong Nan¹

作者信息

1. School of Electronics and Information,Xi’an Polytechnic University,Xi’an 710600,China
2. School of Electronics and Information,Xi’an Polytechnic University,Xi’an 710600,China Shaanxi Artificial Intelligence Joint Laboratory,Xi’an Polytechnic University,Xi’an 710600,China
3. Yunnan Observatories,Chinese Academy of Sciences,Kunming 650216,China
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摘要

关键词

Solar image registration/Deep learning/Unsupervised learning/Hybrid attention mechanism

分类

天文与地球科学

引用本文复制引用

Mengwei Ban,Rui Wang,Zhi Xu,Zhongyan Liu,Xudong Nan..A nonrigid registration deep-learning model for solar photosphere images using a hybrid cross-attention mechanism[J].Astronomical Techniques and Instruments,2026,3(2):P.112-120,9.

基金项目

funded by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0560000) （XDB0560000）

the National Natural Science Foundation of China(12473054) （12473054）

the Basic Research on Fund Projects in Yunnan Province(2019FA001) （2019FA001）

the Yunnan Province Science Foundation Project(202105AC160085). （202105AC160085）

Astronomical Techniques and Instruments

ISSN：2097-3675

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