Advanced Artificial Intelligence Algorithms for Remote Sensing and Structural Health Monitoring
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (31 January 2024)
Special Issue Editors
Interests: remote sensing, Signal processing, Image processing, Artificial intelligence, Software development (Agile)
Interests: bridge engineering and asset management; digital twin development; unmanned aerial vehicle (UAV) based photogrammetry; terrestrial laser scanning (TLS); structural health monitoring (SHM), sustainability, and life cycle management.
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
The evaluation, monitoring, and analysis of numerous man-made structures, including buildings, bridges, dams, and infrastructure systems, depend greatly on structural remote sensing. The combination of advanced AI algorithms with remote sensing methods enables structural assessment, characterization, and automation to be handled more efficiently, safely, and intelligently. This Special Issue aims to investigate novel methods that utilize artificial intelligence (AI) tools, such as deep learning, computer vision, machine learning, and Robotic Process Automation (RPA), for structural remote sensing applications. We welcome articles that discuss opportunities and challenges associated with automated feature extraction, classification, damage assessment, structural health monitoring, and 3D reconstruction in the context of structural remote sensing utilizing advanced AI algorithms. Additionally, contributions that concentrate on the integration of data from many remote sensing sources, such as LiDAR, hyperspectral photography, and synthetic aperture radar (SAR), are also welcomed. This Special Issue intends to increase knowledge and capacities when precisely analyzing and monitoring various structures by bringing together cutting-edge research in the convergence of AI and structural remote sensing. We anticipate receiving excellent contributions that test the limits of artificial intelligence (AI) algorithms in structural remote sensing and eventually help to improve the built environment’s resilience, safety, and sustainability.
Dr. Azadeh Noori Hoshyar
Dr. Maria Rashidi
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
- • advanced AI algorithms
- • structural health monitoring
- • intelligence
- • deep learning
- • computer vision
- • machine learning
- • Robotic Process Automation (RPA)
- • automated feature extraction
- • classification
