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Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
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 …
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
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 …
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
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 …
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
Natural disasters can be unpredictable and catastrophic. Even after the event, the
repercussions are prolonged due to the incompetence of disaster management strategies …
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
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 …
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
Deep learning-based semantic segmentation has made great progress in understanding
very-high-resolution (VHR) remote sensing images (RSIs). However, large-scale …
very-high-resolution (VHR) remote sensing images (RSIs). However, large-scale …
Automating building damage reconnaissance to optimize drone mission planning for disaster response
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 …
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 …
effective disaster management efforts becomes even more critical. Specifically, flooding is …