Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images. (arXiv:2210.01588v1 [cs.CV])

Identification of regions affected by floods is a crucial piece of
information required for better planning and management of post-disaster relief
and rescue efforts. Traditionally, remote sensing images are analysed to
identify the extent of damage caused by flooding. The data acquired from
sensors onboard earth observation satellites are analyzed to detect the flooded
regions, which can be affected by low spatial and temporal resolution. However,
in recent years, the images acquired from Unmanned Aerial Vehicles (UAVs) have
also been …

arxiv classification geography images machine machine learning