Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review

J Cheng, C Deng, Y Su, Z An, Q Wang - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

Wireless distributed learning: A new hybrid split and federated learning approach

X Liu, Y Deng, T Mahmoodi - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to
be a major part of the sixth generation (6G) networks. The UAVs connected to the base …

Sam-vqa: Supervised attention-based visual question answering model for post-disaster damage assessment on remote sensing imagery

A Sarkar, T Chowdhury, RR Murphy… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Each natural disaster leaves a trail of destruction and damage that must be effectively
managed to reduce its negative impact on human life. Any delay in making proper decisions …

Efficient CNN-based disaster events classification using UAV-aided images for emergency response application

MH Bashir, M Ahmad, DR Rizvi, AAA El-Latif - Neural Computing and …, 2024 - Springer
Natural disasters can be unpredictable and catastrophic. Even after the event, the
repercussions are prolonged due to the incompetence of disaster management strategies …

[HTML][HTML] Post Disaster damage Assessment using Ultra-high-resolution Aerial Imagery with Semi-supervised transformers

DK Singh, V Hoskere - Sensors, 2023 - mdpi.com
Preliminary damage assessments (PDA) conducted in the aftermath of a disaster are a key
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …

Category-level assignment for cross-domain semantic segmentation in remote sensing images

H Ni, Q Liu, H Guan, H Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning-based semantic segmentation has made great progress in understanding
very-high-resolution (VHR) remote sensing images (RSIs). However, large-scale …

Automating building damage reconnaissance to optimize drone mission planning for disaster response

D Hu, S Li, J Du, J Cai - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
Rapid reconnaissance of building damage is critical for disaster response and recovery.
Drones have been utilized to collect aerial images of affected areas in order to assess …

[HTML][HTML] Post-flood analysis for damage and restoration assessment using drone imagery

D Whitehurst, K Joshi, K Kochersberger, J Weeks - Remote Sensing, 2022 - mdpi.com
With natural disasters continuing to become more prevalent in recent years, the need for
effective disaster management efforts becomes even more critical. Specifically, flooding is …