Integrated Remote Sensing Method in Structural Health Monitoring
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1770
Special Issue Editors
Interests: finite element analysis; structural health monitoring; tunnel structures; deformation analysis; underground space; damage detection; vision-based measurement
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent detection; machine learning; deformation monitoring; intelligent sensing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; nondestructive testing; load monitoring; smart structures; ultrasounds and material testing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Integrated remote sensing methods and technologies have been adopted widely in the field of structural health monitoring of various constructions which can provide adequate information on objects and powerful computational and analytical methods for the monitoring of tunnels, bridges, subways, and many other kinds of constructions. Great attention has been paid by different scientific communities to this topic because it promotes a deep understanding of structure monitoring, and thus plays an important role in the development of intelligent monitoring technologies.
This Special Collection aims to synthesize the state-of-the-art in intelligent remote sensing, multi-sensor measurement, artificial intelligence, structural health monitoring, laser-based measurement, machine vision, deep learning, and deformation analysis. We hope to showcase the impact of intelligent monitoring of modern constructions, and to strengthen academic exchange in the field of intelligent monitoring methods and applications.
Research articles on new developments in intelligent monitoring with respect to theoretical, computational, models, experiments, and methods, as well as their applications in the engineering fields, will be considered.
We encourage submissions on a broad range of issues including, but not limited to:
- Intelligent Remote Sensing
- Multi-sensor Measurement
- Structural Health Monitoring
- Deformation Analysis
- Artificial Intelligence
- Laser-based Measurement
- Machine Vision
Prof. Dr. Xiangyang Xu
Prof. Dr. Hao Yang
Dr. Vittorio Memmolo
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
- intelligent remote sensing
- structural health monitoring
- artificial intelligence
- intelligent modelling
- machine vision
- deformation analysis
