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Disaster Response

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Showing 51–100 of 217 papers

TitleStatusHype
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping—0
Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter ProductCode0
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control—0
Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality SettingsCode1
Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging—0
Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis—0
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO—0
Multiclass Post-Earthquake Building Assessment Integrating High-Resolution Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers—0
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation ApplicationsCode3
Rapid Distributed Fine-tuning of a Segmentation Model Onboard SatellitesCode0
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
Integration of Large Vision Language Models for Efficient Post-disaster Damage Assessment and Reporting—0
Mapping Global Floods with 10 Years of Satellite Radar DataCode2
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility PredictionCode1
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimizationCode0
Accelerate Coastal Ocean Circulation Model with AI Surrogate—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
A Social Context-aware Graph-based Multimodal Attentive Learning Framework for Disaster Content Classification during Emergencies—0
DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response—0
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models—0
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks—0
Super Resolution On Global Weather Forecasts—0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring—0
OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model—0
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IANCode1
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery—0
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain ShiftCode2
BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains—0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
Stochastic Dynamic Network Utility Maximization with Application to Disaster Response—0
Responsible AI for Earth Observation—0
Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts—0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning—0
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation—0
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data—0
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization—0
QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment—0
Large Language Models for UAVs: Current State and Pathways to the Future—0
Enhancing Privacy and Security of Autonomous UAV Navigation—0
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction—0
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach—0
Distributed Autonomous Swarm Formation for Dynamic Network Bridging—0
TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes—0
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