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Special Issue "Road Extraction and Distress Assessment by Spaceborne, Airborne and Terrestrial Platforms"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 16963
Special Issue Editors
Interests: UAV; aircraft and satellite remote sensing; multispectral and hyperspectral remote sensing; imaging spectroscopy; asphalt pavement analysis by remote sensing techniques; analysis of bituminous mixtures by digital imaging processing; characterization of traditional and bio-plastics by hyperspectral devices; photogrammetry and 3D modelling; GIS and geospatial statistics; calibration/validation; land use land cover change; downscaling techniques
Interests: hyperspectral and multispectral imagery; quantitative remote sensing; AI applications; road pavement distress assessment; remote sensing for natural disaster assessment
Interests: drones; GPS/GNSS; geomatic; geodesy; photogrammetry; survey; remote sensing; GIS; post seismic survey
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Special Issue Information
As known, road maintenance has a deep impact on authorities' financial plans. Currently, to reach standard safety conditions, numerous PMS systems and indicators are used for pavement assessment such as the Pavement Condition Index (PCI), or the Structure Index (SI) but, both don’t allow a rapid synoptic pavement investigation for large road networks. Moreover, due to their need to be calculated from in situ surveys, the acquisition of such indices is expensive and time consuming. Hence, in the last decade the advancement of automated or semi-automated procedures is stimulated for pavement distress detection and analysis. Here because, a great interest has grown-up in the scientific community to the adoption of remote sensed non-invasive techniques in several experimental settings.
Remote sensing represents an interesting alternative and challenge for road extraction and pavement aging condition monitoring by using both passive and active satellite sensors. Moreover, the increase in the adoption of Artificial Intelligence (AI) and Big Data based on remote sensing allows us to manage and share in a more efficient way such huge data frames.
Furthermore, the use of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) show an increase of their implications on these topics and are frequently related to field surveys. Such kinds of technologies attain higher outcomes when remote sensed data are correlated to the standardized parameters.
The aim of this special issue is to collect research or review papers focusing on innovative and multidisciplinary approaches on road extraction or distress assessment using spaceborne, aerial and terrestrial platforms in different experimental surroundings. Additionally, papers focusing on new field approaches related to spectroscopy, photogrammetry, GPR, LIDAR, laser scanners, etc. are also welcome.
Dr. Alessandro Mei
Prof. Dr. Xianfeng Zhang
Prof. Dr. Valerio Baiocchi
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 2500 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.
- road extraction and pavement distress analysis
- spaceborne, airborne and terrestrial platforms
- UAV and UGV
- multispectral and hyperspectral Remote Sensing
- time series analysis and change detection
- imaging spectroscopy
- Pavement Condition Index, Structure Index, Serviceability Index
- Pavement Management systems (PMS)
- bituminous mixtures analyses by non-invasive techniques
- photogrammetry and 3D modelling
- GIS modelling for management plan
- Decision Support Systems based on remote sensed techniques
- deep learning
- data fusion
- Ground Penetrating Radar (GPR)
- Accelerated Pavement Tests (APT)
- lidar and laser scanning
- geometric reconstruction
- pattern recognition