Countries in South Asia experience many catastrophic flooding events regularly. It takes time to execute Search and Rescue (SAR) missions in such flooded areas.With the help of image classification, it is possible to expedite such initiatives by classifying flood zones and other locations of interest like houses and humans within such regions. In this paper, we propose a new dataset to enhance SAR by collecting various aerial imagery of flooding events across South Asian countries. For the class
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia
Ibne Hassan·Jannatun Noor·Abdullah Al Hasib·Joyanta Jyoti Mondal·Aman Mujahid·Andalib Rahman Shagoto·Meem Arafat Manab