Advances in 3D Reconstruction with High-Resolution Satellite Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".
Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 1383
Special Issue Editors
Interests: satellite photogrammetry; dense image matching; 3D reconstruction of high-resolution satellites
Interests: high-resolution satellite imagery; change detection; intelligent interpretation
Special Issues, Collections and Topics in MDPI journals
Interests: 3D reconstruction; computer vision; image processing
Interests: spatial data quality; data reliability; data trustworthiness; data liability; heterogeneous data integration; fitness for use; smart data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-view high-resolution satellite data is a promising remote sensing source in 3D reconstruction, due to its superiorities of easy, low-cost accessibility, world-scale measurement and multi-temporal repeated observations. The ground sampling distances (GSD) of several high-resolution satellite data has reached sub-meter level, which fueled several smart 3D applications, such as 3D scene understanding, 3D semantic segmentation, 3D change detection, 3D object recognition, building reconstruction, biomass estimates and modern network location. However, there are still several challenges limiting the further applications of high-resolution satellite data, e.g. the matching ambiguities in weak-texture/repeat-texture regions, inaccurate matching in depth-jump regions, unreliable 3D information prediction in occlusions and inaccurate reconstruction of high buildings. Motivated by the rapid development of high-resolution satellites, we are excited to invite you to submit a research paper to the special issue titled “ Advances in 3D Reconstruction with High-Resolution Satellite Data”. The aim of this special issue is to highlight the state-of-the-art research that addresses various issues of 3D reconstruction with high-resolution satellite data. In addition, it also highlights research work about smart 3D applications with high-resolution satellite data.
The topics of interest include, but are not limited to:
- Satellite photogrammetry techniques, including calibration, feature matching and bundle adjustment
- Satellite image processing techniques
- Dense image matching of high-resolution satellite data
- Semantic reconstruction of high-resolution satellite data
- Multi-model reconstruction from multiple data sources, e.g. optical data, SAR data, and GIS data
- Realistic texture mapping with high-resolution satellite data
- 3D meshing and LOD reconstruction with high-resolution satellite data
- Improving the intelligence and efficiency of satellite data processing
- 3D change detection with high-resolution satellite data
- 3D object recognition and tracking with high-resolution satellite data
- On-board processing of high-resolution satellite data
- High-accuracy location of satellite imagery
- 3D scene understanding with high-resolution satellite data
- Artificial intelligence methods for 3D Reconstruction from High-Resolution Satellite Data
- Uncertainty modeling in 3D Reconstruction from High-Resolution Satellite Data
- 3D building footprint extraction from space borne remote sensing images
- Smart 3D understanding of satellite data
- Integration of remote sensing and GIS for smart 3D object detection, monitoring and tracking
- Smart spatial and sensor fusion for 3D mapping, reconstruction and information extraction
Dr. Xu Huang
Dr. Daifeng Peng
Dr. Xiao Ling
Prof. Dr. Mahmoud Reza Delavar
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
- satellite photogrammetry
- dense image matching
- semantic 3D reconstruction
- realistic 3D reconstruction
- 3D scene understanding
- multi-model 3D reconstruction
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