English
Related papers

Related papers: Damage Estimation and Localization from Sparse Aer…

200 papers

When disaster strikes, accurate situational information and a fast, effective response are critical to save lives. Widely available, high resolution satellite images enable emergency responders to estimate locations, causes, and severity of…

Computer Vision and Pattern Recognition · Computer Science 2020-04-15 Hanxiang Hao , Sriram Baireddy , Emily R. Bartusiak , Latisha Konz , Kevin LaTourette , Michael Gribbons , Moses Chan , Mary L. Comer , Edward J. Delp

Satellite images are an extremely valuable resource in the aftermath of natural disasters such as hurricanes and tsunamis where they can be used for risk assessment and disaster management. In order to provide timely and actionable…

Image and Video Processing · Electrical Eng. & Systems 2020-06-11 Ananya Gupta , Simon Watson , Hujun Yin

Rapid and accurate structural damage assessment following natural disasters is critical for effective emergency response and recovery. However, remote sensing imagery often suffers from low spatial resolution, contextual ambiguity, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-08 Bijay Shakya , Catherine Hoier , Khandaker Mamun Ahmed

Reliable and exact assessment of visibility is essential for safe air traffic. In order to overcome the drawbacks of the currently subjective reports from human observers, we present an approach to automatically derive visibility measures…

Computer Vision and Pattern Recognition · Computer Science 2015-05-21 Jean-Philippe Andreu , Stefan Mayer , Karlheinz Gutjahr , Harald Ganster

Accurate assessment of post-disaster damage is essential for prioritizing emergency response, yet current practices rely heavily on manual interpretation of satellite imagery.This approach is time-consuming, subjective, and difficult to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Sreesritha Sai , Sai Venkata Suma Sreeja , Sai Sri Deepthi , Nikhil

This paper audits damage labels derived from coincident satellite and drone aerial imagery for 15,814 buildings across Hurricanes Ian, Michael, and Harvey, finding 29.02% label disagreement and significantly different distributions between…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 Thomas Manzini , Priyankari Perali , Jayesh Tripathi , Robin Murphy

Automatic damage assessment based on UAV-derived 3D point clouds can provide fast information on the damage situation after an earthquake. However, the assessment of multiple damage grades is challenging due to the variety in damage…

Computer Vision and Pattern Recognition · Computer Science 2023-02-27 Vivien Zahs , Katharina Anders , Julia Kohns , Alexander Stark , Bernhard Höfle

Flood extent mapping plays a crucial role in disaster management and national water forecasting. In recent years, high-resolution optical imagery becomes increasingly available with the deployment of numerous small satellites and drones.…

Computer Vision and Pattern Recognition · Computer Science 2021-01-11 Zhe Jiang , Arpan Man Sainju

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

Earth observation technologies, such as optical imaging and synthetic aperture radar (SAR), provide excellent means to monitor ever-growing urban environments continuously. Notably, in the case of large-scale disasters (e.g., tsunamis and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Bruno Adriano , Naoto Yokoya , Junshi Xia , Hiroyuki Miura , Wen Liu , Masashi Matsuoka , Shunichi Koshimura

The increasing frequency and intensity of natural disasters call for rapid and accurate damage assessment. In response, disaster benchmark datasets from high-resolution satellite imagery have been constructed to develop methods for…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Kyeongjin Ahn , Sungwon Han , Sungwon Park , Jihee Kim , Sangyoon Park , Meeyoung Cha

Damage assessment after natural disasters is needed to distribute aid and forces to recovery from damage dealt optimally. This process involves acquiring satellite imagery for the region of interest, localization of buildings, and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Eugene Khvedchenya , Tatiana Gabruseva

Timely and accurate assessment of hurricane-induced building damage is crucial for effective post-hurricane response and recovery efforts. Recently, remote sensing technologies provide large-scale optical or Interferometric Synthetic…

The detrimental impacts of climate change include stronger and more destructive hurricanes happening all over the world. Identifying different damaged structures of an area including buildings and roads are vital since it helps the rescue…

Computer Vision and Pattern Recognition · Computer Science 2021-06-03 Tashnim Chowdhury , Maryam Rahnemoonfar

Natural disasters pose significant challenges to timely and accurate damage assessment due to their sudden onset and the extensive areas they affect. Traditional assessment methods are often labor-intensive, costly, and hazardous to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Catherine Hoier , Khandaker Mamun Ahmed

Distributing government relief efforts after a flood is challenging. In India, the crops are widely affected by floods; therefore, making rapid and accurate crop damage assessment is crucial for effective post-disaster agricultural…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Sanidhya Ghosal , Anurag Sharma , Sushil Ghildiyal , Mukesh Saini

In post-event reconnaissance missions, engineers and researchers collect perishable information about damaged buildings in the affected geographical region to learn from the consequences of the event. A typical post-event reconnaissance…

Computer Vision and Pattern Recognition · Computer Science 2019-07-12 Ali Lenjani , Shirley J. Dyke , Ilias Bilionis , Chul Min Yeum , Kenzo Kamiya , Jongseong Choi , Xiaoyu Liu , Arindam G. Chowdhury

Recent years, typhoon damages has become social problem owing to climate change. In 9 September 2019, Typhoon Faxai passed on the Chiba in Japan, whose damages included with electric provision stop because of strong wind recorded on the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Takato Yasuno , Masazumi Amakata , Masahiro Okano

Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Bahareh Alizadeh , Diya Li , Zhe Zhang , Amir H. Behzadan

In this paper, we study the problem of efficiently assessing building damage after natural disasters like hurricanes, floods or fires, through aerial video analysis. We make two main contributions. The first contribution is a new dataset,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-05 Xiaoyu Zhu , Junwei Liang , Alexander Hauptmann