UAV Imagery for Engineering Applications Using Artificial Intelligence Techniques (UAV-AI)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 47276
Special Issue Editors
Interests: remote sensing; image analysis; pattern recognition; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; reinforcement learning; optimizations; multiagent systems; materials informatics; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will focus on the development of UAV imagery for engineering applications using Artificial Intelligence techniques (UAV-AI). UAV imagery broadens the set of engineering application domains to which AI techniques are applied. With greater data stemming from UAV, there is a need to build new AI technologies like machine learning and optimization in image processing for effective and efficient ways to solve a wide range of engineering applications. UAV-AI have the advantage of automatic processing, with short temporal information that can learn from the environment and past experiences and adapt to accommodate fast-changing environments and goals. Each task in a UAV-AI system is interesting and valuable in its own right, but building such a system can facilitate a fundamental shift in the way we see them for solving complex problems. There is a need for a UAV imaging platform which includes visual RGB, multispectral, hyperspectral, thermal IR, LiDAR, etc. and AI technologies in machine learning, specifically shallow artificial neural networks, deep learning neural networks, spiking neural networks, online learning, neurofuzzy networks, as well as gradient-free optimization techniques like genetic algorithms, particle swarm optimization, ant colony optimization, cuckoo search algorithms, firefly algorithms, etc., in decision-making and modeling in various engineering applications. UAV-AI invites authors to submit their contributions in the areas, including, but not limited to, the following:
• Time-series data for short term change detection in disaster monitoring;
• Time-series data for long term change detection in land-surface phenology and forest monitoring;
• Radiometric calibration for camera of different imaging conditions;
• Multispectral/hyperspectral image processing for agricultural monitoring;
• Anomaly detection like suspicious detection;
• Generalized road extraction system;
• Power line monitoring;
• Target detection for forest fire mitigation;
• Radiation monitoring;
• Water/air pollution monitoring.
Prof. Jon Atli Benediktsson
Dr. Senthilnath Jayavelu
Guest Editors
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