Computer Vision for Remote Sensing and Infrastructure Inspection
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 18215
Special Issue Editors
Interests: visual computing; artificial intelligence robotics; virtual reality; urban visual intelligence; multisensory systems; human-computer interactions
Special Issues, Collections and Topics in MDPI journals
Interests: Geophysical Testing and Nondestructive Evaluation; Foundation Design and Capacity Assessment; Numerical modeling of mechanical waves; Full waveform tomography, refraction tomography, and surface wave methods
Special Issue Information
Dear Colleagues,
With the emergence of affordable yet advanced sensors, it is becoming more and more practical to develop innovative perception capabilities for non-destructive and remote inspection and sensing appliactions. Therefore the design, implementation, and validation of novel techniques that enable autonomous measuring of important properties of remote physical enviornments and infrastructures is becoming an essential component of remote sensing terrestrial applications (e.g., forestry, carbon emission, and environmental studies) and civil infrastructure inspection protocols. The goal of this Special Issue is to provide a venue for discussions of the state-of-the-art developments in visual perception and their applications in remote sensing and infrastructure inspection, and focusing on the exploration of new frontiers in the area of visual computing for robotics with an emphasis on remote inspection and terrestrial sensing applications. Therefore, the Special Issue welcomes papers that provide reviews and surveys of the current state-of-the-art findings in the field of visual perception for remote sensing and infrastructure inpsection as well as work exploring novel approaches of using visual sensors and computing to solve problems in tele-robotics, remote sensing, and infrastructure inspection. Priority will be given to papers that integrate computer vision, virtual/augmented/mixed reality, and/or machine learning to address challenging problems facing environmental, civil, safety, and societal needs.
Topics of interest for this Special Issue include, but are not limited, to the following areas:
- Vision for infrastructure inspection
- Vision for remote sensing
- Nondestructive evaluation systems
- Nondestructive testing systems
- 3D environmental modeling
- Calibration and remote sensing
- Visual localization and navigation systems
- Visual inspection systems and applications
- Sensor fusion for visual perception
- Vision for robotic systems
The sensors to be considered, but not limited to:
- Electrical and optical sensors
- Infrared sensors
- Visual sensors
- Radar
- Lidar
- Multispectral sensors
- General sensors (temperature, flow, moisture, humidity, pressure)
- Ultrasonic sensors
Dr. Alireza Tavakkoli
Dr. Khiem Tran
Dr. Hung La
Guest Editors
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Keywords
- Remote Sensing
- Civil Infrastructure Inspection
- Computer Vision
- Machine Learning
- Image and Video Processing
- Point-Cloud Processing
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