Multi-Sensor Image Fusion: A Survey of the State of the Art

Li, Bing and Xian, Yong and Zhang, Daqiao and Su, Juan and Hu, Xiaoxiang and Guo, Weilin (2021) Multi-Sensor Image Fusion: A Survey of the State of the Art. Journal of Computer and Communications, 09 (06). pp. 73-108. ISSN 2327-5219

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Abstract

Image fusion has been developing into an important area of research. In remote sensing, the use of the same image sensor in different working modes, or different image sensors, can provide reinforcing or complementary information. Therefore, it is highly valuable to fuse outputs from multiple sensors (or the same sensor in different working modes) to improve the overall performance of the remote images, which are very useful for human visual perception and image processing task. Accordingly, in this paper, we first provide a comprehensive survey of the state of the art of multi-sensor image fusion methods in terms of three aspects: pixel-level fusion, feature-level fusion and decision-level fusion. An overview of existing fusion strategies is then introduced, after which the existing fusion quality measures are summarized. Finally, this review analyzes the development trends in fusion algorithms that may attract researchers to further explore the research in this field.

Item Type: Article
Subjects: Souths Book > Computer Science
Depositing User: Unnamed user with email support@southsbook.com
Date Deposited: 16 May 2023 08:02
Last Modified: 07 Jun 2024 11:04
URI: http://research.europeanlibrarypress.com/id/eprint/913

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