With the rapid advance in camera sensor technology, the acquisition of high-resolution
images or videos has become extremely convenient and cost-effective. Computer vision that …

This study aims to facilitate a more reliable automated postdisaster assessment of damaged
buildings based on the use of multiple view imagery. Toward this, a Multi‐View …

Structural dynamics has numerous practical applications, such as structural analysis,
vibration control, energy harvesting, system identification, structural safety assessment, and …

Digital technologies often create confusion among donors involved in the humanitarian
supply chain (HSC). Specifically, donors are unsure about whether to rely on their …

Disasters can have devastating impacts on communities and economies, underscoring the
urgent need for effective strategic disaster risk management (DRM). Although Artificial …

Flood disasters inflict immense devastation upon buildings, and the post-disaster
assessment of housing damage levels is of paramount importance in safeguarding resident …

Damage assessment of the built infrastructure forms a critical step in post-disaster response
as it is necessary for estimating the severity and extent of the disaster impact, thereby …

Climate disasters often result in large amounts of debris that need to be cleaned up in the
event's aftermath. Effective post-disaster debris management poses unique challenges due …

Deep learning has taken by storm all fields involved in data analysis, including remote
sensing for Earth observation. However, despite significant advances in terms of …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …