3D Scene Reconstruction, Modeling and Analysis Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 254
Special Issue Editors
Interests: remote sensing; computer vision
Interests: multimodal remote sensing interpretation
Interests: remote sensing image understanding; remote sensing application; urban analysis; deep learning algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of remote sensing has witnessed remarkable advancements in recent years, particularly in the domain of 3D scene reconstruction, modeling, and analysis. These developments have opened new possibilities for understanding and interpreting our complex three-dimensional world. However, challenges remain in effectively processing and analyzing the vast amounts of 3D data acquired through various remote sensing techniques. This Special Issue aims to explore cutting-edge methodologies and applications in 3D scene reconstruction, modeling, and analysis using remote sensing data.
This Special Issue seeks to cover a wide range of topics related to 3D scene reconstruction, modeling, and analysis using remote sensing, including but not limited to:
- Three-dimensional reconstruction techniques using multi-source remote sensing data fusion;
- stereo mapping techniques for high-resolution satellite imagery;
- Three-dimensional urban modeling from remote sensing;
- Four-dimensional scene reconstruction and change detection using time-series remote sensing data;
- High-precision 3D reconstruction combining remote sensing and ground observation data;
- Three-dimensional modeling of surface deformation based on SAR interferometry;
- Three-dimensional scene understanding from remote sensing images;
- Application of semantic segmentation in 3D scene reconstruction from remote sensing images;
- Collaborative 3D reconstruction from multi-platform remote sensing data;
- Global-scale 3D terrain reconstruction and update using remote sensing data
Dr. Ganchao Liu
Prof. Dr. Yaxiong Chen
Dr. Qingyu Li
Dr. Cong Zhang
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 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. 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
- 3D scene reconstruction
- remote sensing
- multi-source data fusion
- deep learning
- high-resolution satellite imagery
- 4D scene reconstruction
- SAR interferometry
- semantic segmentation
- point cloud analysis
- global 3D terrain reconstruction
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