Mathematics-Driven Computer Vision and Multi-Modal Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 420
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue of Mathematics focuses on the critical role of mathematics in advancing computer vision and multi-modal learning for remote sensing and low-altitude scene analysis. We seek high-quality articles that explore how mathematical frameworks, such as optimization theory, statistical learning, geometric modeling, signal processing, and differential geometry, drive innovations in these specialized domains. Submissions may cover theoretical advancements, including novel mathematical models for multi-modal data fusion, scene feature representation, or robust inference under complex environmental conditions, as well as practical applications such as enhancing the accuracy of remote sensing image interpretation, low-altitude target detection, or dynamic scene understanding.
We encourage studies that bridge mathematical rigor with real-world challenges in remote sensing and low-altitude scenarios, such as comparing classical and emerging mathematical tools for handling data sparsity, noise, or multi-source heterogeneity or demonstrating how mathematical insights solve critical problems such as multi-modal alignment, small target recognition, or 3D scene reconstruction. Manuscripts that are purely speculative without empirical validation, theoretical proof, or practical application verification will not be considered.
We welcome contributions from researchers worldwide, especially those pioneering cross-disciplinary breakthroughs at the intersection of mathematics, computer vision, multi-modal learning, and the rapidly evolving fields of remote sensing and low-altitude scene analysis.
Dr. Junjie Zhang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com 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 250 words) can be sent to the Editorial Office for assessment.
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- mathematics
- computer vision
- multi-modal learning
- remote sensing
- low-altitude scene analysis
- mathematical modeling
- data fusion
- scene understanding
- optimization theory
- statistical learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
