SMFD: an end-to-end infrared and visible image fusion model based on shared-individual multi-scale feature decomposition-Reference-Cited by-同舟云学术

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SMFD: an end-to-end infrared and visible image fusion model based on shared-individual multi-scale feature decomposition

Published:2024-02-24 Issue:02 Volume:18 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Xu Mingrui¹,Kong Jun¹,Jiang Min²,Liu Tianshan³

Affiliation:

1. Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Wuxi, China

2. Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Wuxi, China

3. The Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong, China

Publisher

SPIE-Intl Soc Optical Eng

Reference60 articles.

1. IR and Visible Video Fusion for Surveillance

2. Infrared and visible image fusion methods and applications: A survey

3. Current advances and future perspectives of image fusion: A comprehensive review

4. Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment

5. Cross-Modal Pattern-Propagation for RGB-T Tracking

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Object-based strategy for generating high-resolution four-dimensional thermal surface models of buildings based on integration of visible and thermal unmanned aerial vehicle imagery;Journal of Applied Remote Sensing;2024-07-25

2. MDANNet: A Multi-Scale Dual-Route Attention Nested Fusion Network for Infrared and Visible Images;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

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