Explainable analysis of infrared and visible light image fusion based on deep learning

Explainability is a very active area of research in machine learning and image processing. This paper aims to investigate the explainability of visible light and infrared image fusion technology in order to enhance the credibility of model understanding and application. Firstly, a multimodal image f...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 2223 - 10
Main Authors:	Yuan, Bo, Sun, Hongyu, Guo, YinJing, Liu, Qiang, Zhan, Xinghao
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 17.01.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166/987 639/705/117 Algorithms Comparative analysis Computer vision Deep learning Explainability Humanities and Social Sciences Image fusion Image processing Information processing Light Local explanations Machine learning multidisciplinary Neural networks Science Science (multidisciplinary) Explainability Image fusion Machine learning Local explanations
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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