UAV Remote Sensing and 3D Reconstruction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 30 August 2024 | Viewed by 595
Special Issue Editors
Interests: AI
Interests: image enhancement; image restoration; deep learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; signal processing; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the field of computer vision has witnessed a number of transformative breakthroughs thanks to the advent of Neural Radiance Fields (Nerf), a revolutionary technique that has redefined the way we perceive and reconstruct three-dimensional scenes. This Special Issue delves into the intriguing realm of Nerf-based scene reconstruction which is specifically tailored towards Unmanned Aerial Vehicles (UAVs). As UAVs continue to proliferate across various domains, from cinematography to surveillance, the ability to reconstruct detailed and accurate 3D models of the environments in which they operate becomes paramount.
Our exploration encompasses the underlying principles of Nerf and its adaptation to the unique challenges posed by UAV-generated data. We explore the fusion of vision and robotics, unlocking the potential for real-time, high-fidelity scene reconstruction from aerial perspectives. The utilization of Nerf in UAV applications not only enhances our spatial understanding of the environment but also holds promise for their implementation within mapping, navigation, and disaster response.
This Special Issue aims to bring together researchers, practitioners, and enthusiasts to share their insights, methodologies, and advancements in the domain of Nerf-based UAV 3D reconstruction. By fostering collaboration and the exchange of ideas, we aspire to push the boundaries of this burgeoning field and pave the way for innovative applications that harness the synergy between Nerf and Unmanned Aerial Vehicles.
Prof. Dr. Shibiao Xu
Dr. Yun Liu
Dr. Honggang Chen
Guest Editors
Manuscript Submission Information
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Keywords
- neural radiance fields (NeRF)
- UAV image processing
- UAV scene reconstruction
