6 citations · 9 across the 5 of their papers we have counts for
5 papers
Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring
Lemeng Zhao, Junjie Hu, Jianchao Bi +3
In recent years, unmanned aerial vehicles (UAVs) have played an increasingly crucial role in supporting disaster emergency response efforts by analyzing aerial images. While curren…
Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms
Keichi Takahashi, Takashi Abe, Akihiro Musa +4
To issue early warnings and rapidly initiate disaster responses after tsunami damage, various tsunami inundation forecast systems have been deployed worldwide. Japan's Cabinet Offi…
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
Yanbing Bai, Xinyi Wu, Lai Xu +3
With the rapid development of earth observation technology, we have entered an era of massively available satellite remote-sensing data. However, a large amount of satellite remote…
Flood Data Analysis on SpaceNet 8 Using Apache Sedona
Yanbing Bai, Zihao Yang, Jinze Yu +4
With the escalating frequency of floods posing persistent threats to human life and property, satellite remote sensing has emerged as an indispensable tool for monitoring flood haz…
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping
Bruno Adriano, Naoto Yokoya, Junshi Xia +4
Earth observation technologies, such as optical imaging and synthetic aperture radar (SAR), provide excellent means to monitor ever-growing urban environments continuously. Notably…