Algorithms in Multi-Sensor Imaging and Fusion
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 50
Special Issue Editors
Interests: computer vision; image processing; pattern recognition; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: image color analysis; image enhancement; image fusion; image restoration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-sensor image fusion is a field dedicated to processing images of the same subject or scene captured by multiple sensors. This approach involves combining various sensors that provide diverse perspectives and spatial information to achieve a coherent interpretation of the observed environment. In recent years, multi-sensor image fusion has emerged as a vibrant area of research, witnessing the proposal of numerous fusion methods. These methods leverage effective techniques, like multi-scale transformation, fuzzy inference, and deep learning, to craft fusion algorithms.
Despite significant advancements, several notable challenges persist within this domain. These include the absence of unified fusion theories and methodologies for achieving effective fusion across diverse scenarios, as well as the need for enhanced fault tolerance and robustness. Additionally, there is a dearth of standardized benchmarks for evaluating fusion performance, as well as limited exploration into specific applications of multi-sensor image fusion.
This research endeavor is dedicated to advancing the understanding and application of multi-sensor image fusion. It aims to present cutting-edge studies encompassing methodologies, assessments, and practical implementations. The overarching goal is to drive the evolution of multi-sensor image fusion techniques, with a focus on their utilization in medical image segmentation, biological analysis, and astronomical imaging.
Specifically, this research initiative seeks contributions in the form of unified fusion theories, robust fusion methodologies, innovative performance evaluation techniques, and real-world applications in classification, detection, and segmentation tasks. Fusion methods may draw upon traditional processing techniques or employ deep learning approaches. Evaluation efforts should explore the creation of benchmarks comprising datasets, objective metrics, and baseline methodologies.
Moreover, investigations into specific applications are encouraged, such as the fusion of images from different modalities using multi-sensor fusion techniques. The following topics are of particular interest:
- Multi-sensor image registration;
- High dynamic range imaging;
- Multi-sensor/modality object detection and segmentation;
- Machine learning/deep learning for multi-sensor image processing;
- Multi-sensor image fusion datasets and benchmarks;
- Objective evaluations of multi-sensor image fusion;
- Multi-sensor image fusion in different fields;
- Multi-sensor information monitoring and detection;
- Multi-sensor information processing.
Through collaborative research and exploration, this initiative aims to propel advancements in multi-sensor image fusion, paving the way for its widespread application across diverse domains.
Dr. Guanqiu Qi
Dr. Zhiqin Zhu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multi-sensor fusion
- image processing
- multi-sensor image segmentation
- machine/deep learning
- performance evaluation
