Feature Interaction Learning Network for Cross-Spectral Image Patch Matching-Reference-Cited by-同舟云学术

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Feature Interaction Learning Network for Cross-Spectral Image Patch Matching

Published:2023 Issue: Volume:32 Page:5564-5579
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Yu Chuang¹^ORCID,Liu Yunpeng²^ORCID,Zhao Jinmiao¹^ORCID,Wu Shuhang²,Hu Zhuhua³^ORCID

Affiliation:

1. Key Laboratory of Opto-Electronic Information Processing and the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

3. School of Information and Communication Engineering, Hainan University, Haikou, China

Funder

Innovation Project of Equipment Development Department–Information Perception Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10251126.pdf?arnumber=10251126

Reference52 articles.

1. A Class of Algorithms for Fast Digital Image Registration

2. Multibranch Feature Difference Learning Network for Cross-Spectral Image Patch Matching

3. Alignment by maximization of mutual information

4. Two-Stage Template Matching

5. Two-scale image fusion of visible and infrared images using saliency detection

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