Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring

no code implementations • 31 Aug 2024 • Lemeng Zhao, Junjie Hu, Jianchao Bi, Yanbing Bai, Erick Mas, Shunichi Koshimura

In recent years, unmanned aerial vehicles (UAVs) have played an increasingly crucial role in supporting disaster emergency response efforts by analyzing aerial images.

Disaster Response Video Understanding

Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning

no code implementations • 28 May 2024 • Yanbing Bai, Xinyi Wu, Lai Xu, Jihan Pei, Erick Mas, Shunichi Koshimura

With the rapid development of earth observation technology, we have entered an era of massively available satellite remote-sensing data.

Active Learning Binary Classification +2

Flood Data Analysis on SpaceNet 8 Using Apache Sedona

no code implementations • 28 Apr 2024 • Yanbing Bai, Zihao Yang, Jinze Yu, Rui-Yang Ju, Bin Yang, Erick Mas, Shunichi Koshimura

This platform aims to enhance the efficiency of error analysis, a critical aspect of improving flood damage detection accuracy.