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Related papers: Deploying Rapid Damage Assessments from sUAS Image…

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Environmental disasters such as floods, hurricanes, and wildfires have increasingly threatened communities worldwide, prompting various mitigation strategies. Among these, property buyouts have emerged as a prominent approach to reducing…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Hakan T. Otal , Elyse Zavar , Sherri B. Binder , Alex Greer , M. Abdullah Canbaz

Quick and automated earthquake-damaged building detection from post-event satellite imagery is crucial, yet it is challenging due to the scarcity of training data required to develop robust algorithms. This letter presents the first dataset…

Image and Video Processing · Electrical Eng. & Systems 2024-04-08 Yao Sun , Yi Wang , Michael Eineder

Building damage detection after natural disasters like earthquakes is crucial for initiating effective emergency response actions. Remotely sensed very high spatial resolution (VHR) imagery can provide vital information due to their ability…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Jun Wang

Rapid search and rescue is critical to maximizing survival rates following natural disasters. However, these efforts are challenged by the need to search large disaster zones, lack of reliability in the communications infrastructure, and a…

Accurate and rapid structural damage assessment (SDA) is crucial for post-disaster management, helping responders prioritise resources, plan rescues, and support recovery. Traditional field inspections, though precise, are limited by…

Artificial Intelligence · Computer Science 2026-04-14 Wanli Ma , Sivasakthy Selvakumaran , Dain G. Farrimond , Adam A. Dennis , Samuel E. Rigby

This paper presents a novel pipeline for development of an efficient set of tools for extracting information from the video of a structure, captured by an Unmanned Aircraft System (UAS) to produce as-built documentation to aid inspection of…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Ahmad Hasan , Ashraf Qadir , Ian Nordeng , Jeremiah Neubert

Rapid post-earthquake damage assessment is crucial for rescue and resource planning. Still, existing remote sensing methods depend on costly aerial images, expert labeling, and produce only binary damage maps for early-stage evaluation.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Huili Huang , Chengeng Liu , Danrong Zhang , Shail Patel , Anastasiya Masalava , Sagar Sadak , Parisa Babolhavaeji , WeiHong Low , Max Mahdi Roozbahani , J. David Frost

Disaster events occur around the world and cause significant damage to human life and property. Earth observation (EO) data enables rapid and comprehensive building damage assessment (BDA), an essential capability in the aftermath of a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Hongruixuan Chen , Jian Song , Olivier Dietrich , Clifford Broni-Bediako , Weihao Xuan , Junjue Wang , Xinlei Shao , Yimin Wei , Junshi Xia , Cuiling Lan , Konrad Schindler , Naoto Yokoya

New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the planning, response, recovery, and assessment phases.…

Computers and Society · Computer Science 2020-06-01 Ben Ortiz , Laura Kahn , Marc Bosch , Philip Bogden , Viveca Pavon-Harr , Onur Savas , Ian McCulloh

Cloud systems have become increasingly popular in recent years due to their flexibility and scalability. Each time cloud computing applications and services hosted on the cloud are affected by a cloud outage, users can experience slow…

There is growing interest towards the use of AI directly onboard satellites for quick analysis and rapid response to critical events such as natural disasters. This paper presents a blueprint to the mission designer for the development of a…

Image and Video Processing · Electrical Eng. & Systems 2025-07-22 Gabriele Inzerillo , Diego Valsesia , Enrico Magli

Very High Resolution (VHR) geospatial image analysis is crucial for humanitarian assistance in both natural and anthropogenic crises, as it allows to rapidly identify the most critical areas that need support. Nonetheless, manually…

The increasing frequency and severity of natural disasters underscore the critical importance of effective disaster emergency response planning to minimize human and economic losses. This survey provides a comprehensive review of recent…

Optimization and Control · Mathematics 2025-05-08 Fan Pu , Zihao Li , Yifan Wu , Chaolun Ma , Ruonan Zhao

We propose a novel search-and-rescue management method that relies on the aerial deployment of Wireless Sensor Network (WSN) for locating victims after floods. The sensor nodes will collect vital information such as heat signatures for…

Networking and Internet Architecture · Computer Science 2022-12-20 Harshil Bhatt , Pranesh G , Samarth Shankar , Shriyash Haralikar

Timely interpretation of satellite imagery is critical for disaster response, yet existing vision-language benchmarks for remote sensing largely focus on coarse labels and image-level recognition, overlooking the functional understanding…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Sara Tehrani , Yonghao Xu , Leif Haglund , Amanda Berg , Michael Felsberg

Climate change has increased the intensity, frequency, and duration of extreme weather events and natural disasters across the world. While the increased data on natural disasters improves the scope of machine learning (ML) in this field,…

Machine Learning · Computer Science 2022-12-22 Adiba Mahbub Proma , Md Saiful Islam , Stela Ciko , Raiyan Abdul Baten , Ehsan Hoque

Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue missions in maritime environments due to their flexible and fast operation capabilities. Modern computer vision algorithms are of great interest in aiding such…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Leon Amadeus Varga , Benjamin Kiefer , Martin Messmer , Andreas Zell

Research on damage detection of road surfaces has been an active area of re-search, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand…

Computer Vision and Pattern Recognition · Computer Science 2022-01-21 A. A. Angulo , J. A. Vega-Fernández , L. M. Aguilar-Lobo , S. Natraj , G Ochoa-Ruiz

Natural and human-made disasters have dramatically increased during the last decades. Given the strong relationship between first responders localization time and the final number of deaths, the modernization of search-and-rescue operations…

Networking and Internet Architecture · Computer Science 2022-02-18 Antonio Albanese , Vincenzo Sciancalepore , Xavier Costa-Pérez

Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the workload and achieve health related quality of life to the…

Computers and Society · Computer Science 2021-10-13 D. M. Anisuzzaman , Chuanbo Wang , Behrouz Rostami , Sandeep Gopalakrishnan , Jeffrey Niezgoda , Zeyun Yu