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相关论文: Localizing and Quantifying Damage in Social Media …

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Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

社会与信息网络 · 计算机科学 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

After a hurricane, damage assessment is critical to emergency managers for efficient response and resource allocation. One way to gauge the damage extent is to quantify the number of flooded/damaged buildings, which is traditionally done by…

计算机视觉与模式识别 · 计算机科学 2020-07-09 Quoc Dung Cao , Youngjun Choe

Gaining timely and reliable situation awareness after hazard events such as a hurricane is crucial to emergency managers and first responders. One effective way to achieve that goal is through damage assessment. Recently, disaster…

计算机视觉与模式识别 · 计算机科学 2020-12-17 Quoc Dung Cao , Youngjun Choe

Natural disasters ravage the world's cities, valleys, and shores on a regular basis. Deploying precise and efficient computational mechanisms for assessing infrastructure damage is essential to channel resources and minimize the loss of…

计算机视觉与模式识别 · 计算机科学 2022-01-28 Thomas Y. Chen

In the aftermath of disasters, building damage maps are obtained using change detection to plan rescue operations. Current convolutional neural network approaches do not consider the similarities between neighboring buildings for predicting…

计算机视觉与模式识别 · 计算机科学 2022-10-04 Ali Ismail , Mariette Awad

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster response and coordinate relief efforts. These have to be carried…

计算机与社会 · 计算机科学 2018-12-19 Jigar Doshi , Saikat Basu , Guan Pang

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a plethora of information is buried in an abundance of images of…

计算机视觉与模式识别 · 计算机科学 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

计算机与社会 · 计算机科学 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

计算与语言 · 计算机科学 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models…

计算与语言 · 计算机科学 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitarian teams. In this paper we consider the use of Machine…

计算机视觉与模式识别 · 计算机科学 2018-03-02 Alexey Trekin , German Novikov , Georgy Potapov , Vladimir Ignatiev , Evgeny Burnaev

Social media has become an important tool to share information about crisis events such as natural disasters and mass attacks. Detecting actionable posts that contain useful information requires rapid analysis of huge volume of data in…

计算与语言 · 计算机科学 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

社会与信息网络 · 计算机科学 2019-08-06 Md. Yasin Kabir , Sanjay Madria

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

社会与信息网络 · 计算机科学 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

社会与信息网络 · 计算机科学 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effective response. Remote sensing provides this data at an…

计算机视觉与模式识别 · 计算机科学 2019-10-16 Joseph Z. Xu , Wenhan Lu , Zebo Li , Pranav Khaitan , Valeriya Zaytseva

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…

计算机视觉与模式识别 · 计算机科学 2022-10-05 Sushant Lenka , Pratyush Kerhalkar , Pranav Shetty , Harsh Gupta , Bhavam Vidyarthi , Ujjwal Verma

During and after disasters, highways provide vital routes for emergency services, relief efforts, and evacuation activities. Thus, a timely and reliable assessment of disaster impacts on highways is critical for decision-makers to quickly…

社会与信息网络 · 计算机科学 2019-09-10 Yudi Chen , Qi Wang , Wenying Ji

Humanitarian disasters and political violence cause significant damage to our living space. The reparation cost to homes, infrastructure, and the ecosystem is often difficult to quantify in real-time. Real-time quantification is critical to…

计算机视觉与模式识别 · 计算机科学 2020-10-13 Lili Lu , Weisi Guo

After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildings and components provide valuable evidence to understand…

计算机视觉与模式识别 · 计算机科学 2019-03-01 Chul Min Yeum , Ali Lenjani , Shirley J. Dyke , Ilias Bilionis