Feed-Forward Techniques for Photogrammetric 3D Mapping
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 101
Special Issue Editors
Interests: photogrammetry; image matching; 3D reconstruction; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: neural networks; 3D reconstruction; deep learning
Interests: photogrammetry; 3D reconstruction; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Photogrammetric 3D mapping has undergone a paradigm shift, transitioning from traditional geometric constraints to data-driven intelligence. At the heart of this evolution lies the feed-forward model, which has redefined the efficiency and robustness of spatial data processing. Unlike iterative optimization methods that may suffer from high computational costs, feed-forward architectures—primarily powered by deep neural networks—allow for the rapid, direct estimation of geometric and semantic properties from raw visual data. This transition is pivotal for meeting the real-time demands of modern aerial and terrestrial sensing platforms.
This Special Issue aims to explore the cutting-edge integration of feed-forward models within photogrammetric 3D mapping workflows. It focuses on leveraging deep learning-based feed-forward architectures to enhance the efficiency and robustness of feature matching, pose estimation, and real-time surface reconstruction. The scope of this Special Issue focuses on several transformative aspects of feed-forward models in the photogrammetric workflow:
- End-to-end feature learning;
- Direct depth and pose estimation;
- Real-time semantic reconstruction;
- 3D Gaussian Splatting (3DGS);
- Neural Radiance Fields (NeRF);
- Structure from motion;
- Multi-view stereo.
Dr. San Jiang
Dr. Jin Liu
Dr. Jianchen Liu
Guest Editors
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. Remote Sensing 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 2700 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
- photogrammetry
- 3D reconstruction
- feed-forward model
- structure from motion
- multi-view stereo
- deep 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.
