Buchumschlag

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Xue, Zhuoqun, Zhang, Xiaojian, Prevatt, David O., Bridge, Jennifer, Xu, Susu, Zhao, Xilei
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models
von: Yang, Yifan, et al.
Veröffentlicht: (2025)

DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
von: Alisjahbana, Irene, et al.
Veröffentlicht: (2024)

Using street view imagery and deep generative modeling for estimating the health of urban forests
von: Gupta, Akshit, et al.
Veröffentlicht: (2025)

Designing streetscapes from street-view imagery using diffusion models
von: Chen, Yuzhou, et al.
Veröffentlicht: (2026)

Investigating the use of deep learning models for land cover classification from street‐level imagery
von: Narumasa Tsutsumida, et al.
Veröffentlicht: (2024)

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning
von: Ibrahim, Mohamed R
Veröffentlicht: (2024)

Post-disaster building indoor damage and survivor detection using autonomous path planning and deep learning with unmanned aerial vehicles
von: Pan, Xiao, et al.
Veröffentlicht: (2025)

SIM: A mapping framework for built environment auditing based on street view imagery
von: Ning, Huan, et al.
Veröffentlicht: (2025)

Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
von: Sameen, Mustafa, et al.
Veröffentlicht: (2025)

Remote sensing data imputation using deep learning for multispectral imagery
von: Liua, Shuang, et al.
Veröffentlicht: (2026)

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning
von: Sun, Yuran, et al.
Veröffentlicht: (2025)

Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery
von: Li, Xuechun, et al.
Veröffentlicht: (2023)

Automating building typology identification for seismic risk assessment using deep learning
von: Daniel Gomez, et al.
Veröffentlicht: (2025)

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
von: Zhang, Xiaojian, et al.
Veröffentlicht: (2022)

An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
von: Muhammad Muzammil Azad, et al.
Veröffentlicht: (2024)

Empowering EEG motor imagery classification with deep transfer learning approach
von: Awanish Kumar Mishra, et al.
Veröffentlicht: (2024)

BuildingGym: An open-source toolbox for AI-based building energy management using reinforcement learning
von: Dai, Xilei, et al.
Veröffentlicht: (2025)

Mapping urban large‐area advertising structures using drone imagery and deep learning‐based spatial data analysis
von: Bartosz Ptak, et al.
Veröffentlicht: (2024)

Identification of multi-component LOFAR sources with multi-modal deep learning
von: Alegre, Lara, et al.
Veröffentlicht: (2024)

Multimodal learning with only image data: A deep unsupervised model for street view image retrieval by fusing visual and scene text features of images
von: Shangyou Wu, et al.
Veröffentlicht: (2024)

Design and Validation of a Grid-based Home Detection via Stay-Time (GHOST) Software for Mobile Location Data
von: Recalde, Alessandra, et al.
Veröffentlicht: (2026)

Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach
von: Xu, Yiming, et al.
Veröffentlicht: (2021)

Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian
von: Liu, Luyu, et al.
Veröffentlicht: (2024)

Evacuation destination choices during Hurricane Ian: A direct demand modeling approach
von: Recalde, Alessandra, et al.
Veröffentlicht: (2026)

A building imagery database for the calibration of machine learning algorithms
von: Vitor Silva, et al.
Veröffentlicht: (2024)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
von: Chen, Ruxiao, et al.
Veröffentlicht: (2025)

Mitral regurgitation detection and central/eccentric classification using transformer‐based deep learning in multi‐view echocardiography
von: Xiaofang Zhong, et al.
Veröffentlicht: (2026)

Automatic damage detection and segmentation using deep learning algorithms in reinforced concrete structure inspections
von: Jiehui Wang, et al.
Veröffentlicht: (2024)

SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images
von: Dhakara, Pushpendra, et al.
Veröffentlicht: (2025)

Damage assessment of unreinforced masonry buildings incorporating damage accumulation
von: Pablo García de Quevedo Inarritu, et al.
Veröffentlicht: (2024)

To use or not to use proprietary street view images in (health and place) research? That is the question
von: Helbich, Marco, et al.
Veröffentlicht: (2024)

M$^{3}$V: A multi-modal multi-view approach for Device-Directed Speech Detection
von: Wang, Anna, et al.
Veröffentlicht: (2024)

Classification of residential and non-residential buildings based on satellite data using deep learning
von: Singla, Jai G
Veröffentlicht: (2024)

BuoyancyNet: a deep learning approach for assessing float buoyancy in mussel aquaculture
von: Carl McMillan, et al.
Veröffentlicht: (2025)

Impact of ground motion uncertainty evolution from post‐earthquake data on building damage assessment
von: Jorge‐Mario Lozano, et al.
Veröffentlicht: (2024)

Evaluating the impact of climate change on hurricane wind risk: A machine learning approach
von: Chi‐Ying Lin, et al.
Veröffentlicht: (2025)

Multi-modal, multi-scale representation learning for satellite imagery analysis just needs a good ALiBi
von: Kage, Patrick, et al.
Veröffentlicht: (2026)

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
von: Hetherington, A., et al.
Veröffentlicht: (2024)

A Deep Learning framework for building damage assessment using VHR SAR and geospatial data: demonstration on the 2023 Turkiye Earthquake
von: Russo, Luigi, et al.
Veröffentlicht: (2025)

Make Silence Speak for Itself: a multi-modal learning analytic approach with neurophysiological data
von: Gao, Mingxuan, et al.
Veröffentlicht: (2025)