Building Damage Assessment

Overview

Building damage assessment studies how to identify buildings and grade their damage from aerial or satellite images, often comparing pre- and post-disaster views but sometimes using post-event imagery alone. Common approaches include CNNs and vision transformers for detection or segmentation, paired-image change detection, and domain adaptation to transfer models across disasters; newer systems also use foundation models and vision-language models. Benchmarks such as xBD and RescueNet measure building-level detection and damage classification, while some evaluations test transfer to unseen events or regions. A central challenge is that models can distinguish obvious damage yet struggle with subtle severity levels, image misalignment, and shifts in sensor or disaster conditions, making robust cross-event evaluation important.

Latest papers

CardsList

25 papers4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Key Findings for Small UAS for Post-Disaster Damage Assessment from the CURSE'26 Exercise

    Oct 21, 2026Thomas Manzini, Stephen Johnson, Priyankari Perali +2Disaster Damage AssessmentUAV Remote Sensing

  2. When Satellite and Street Views Disagree: Cross-View Complementarity in Disaster Damage Assessment

    Oct 3, 2026Yifan Yang, Lei ZouDisaster Damage AssessmentBuilding Damage Assessment

  3. Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction

    Sep 29, 2026Thomas Goudemant, Benjamin Francesconi, Marjorie Bellizzi +1Disaster Damage AssessmentBuilding Damage Assessment

  4. TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspection of Flat Roofs

    Sep 11, 2026Samuel Dunthorne, Hashim A. HashimBuilding Damage AssessmentUAV Remote Sensing

  5. GeBDA: Building Damage Assessment as Text-Based Sequence Prediction

    Aug 28, 2026Olivier Dietrich, Krishna Sapkota, Konrad Schindler +1Building Damage AssessmentRemote Sensing

  6. The spatial anatomy of urban wildfire vulnerability: a spatially validated GeoAI framework reveals the roles of building density and vegetation moisture in structure loss during the 2025 Palisades Fire

    Aug 23, 2026Parastoo Farajpoor, Mohammadreza NarimaniBuilding Damage Assessment

  7. Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification

    Aug 20, 2026Fuad Hasan, Chul Min YeumDisaster Damage AssessmentBuilding Damage Assessment

  8. Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization

    Aug 3, 2026Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1Disaster Damage AssessmentBuilding Damage Assessment

  9. Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge

    Jul 23, 2026Hongruixuan Chen, He Huang, Haifeng Wang +19Disaster Damage AssessmentBuilding Damage Assessment

  10. HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

    Jul 13, 2026Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo +8Remote Sensing Image SegmentationDisaster Damage Assessment

  11. Bridging Spatial And Frequency Views For Disaster Assessment: Benefits And Limitations

    Jun 16, 2026Shikha V. Chandel, Yadav Raj Ghimire, Timothy Agboada +1Remote Sensing Image UnderstandingBuilding Damage Assessment

  12. Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery

    Jun 10, 2026Yiming Xiao, Yu-Hsuan Ho, Sanjay Thasma +2Remote Sensing Image UnderstandingDisaster Damage Assessment

  13. Building Change Detection in Earthquake: A Multi-Scale Interaction Network and A Change Detection Dataset

    Jun 9, 2026Yunlong Liu, Zekai ZhangDisaster Damage AssessmentBuilding Damage Assessment

  14. DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment

    May 11, 2026Kevin Zhu, William Tang, Raphael Hay Tene +3Class-Imbalanced LearningImage Segmentation

  15. A Mamba-Based Multimodal Network for Multiscale Blast-Induced Rapid Structural Damage Assessment

    Apr 13, 2026Wanli Ma, Sivasakthy Selvakumaran, Dain G. Farrimond +2Disaster Damage AssessmentBuilding Damage Assessment

  16. Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery

    Apr 3, 2026Hao Li, Liwei Zou, Wenping Yin +4Disaster Damage AssessmentBuilding Damage Assessment

  17. From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery

    Mar 24, 2026Bijay Shakya, Catherine Hoier, Khandaker Mamun AhmedDisaster Damage AssessmentBuilding Damage Assessment

  18. Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation

    Mar 16, 2026Asmae Mouradi, Shruti KshirsagarDisaster Damage AssessmentBuilding Damage Assessment

  19. TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

    Mar 12, 2026Robinson Umeike, Cuong Pham, Ryan Hausen +8Disaster Damage AssessmentBuilding Damage Assessment

  20. Improved MambdaBDA Framework for Robust Building Damage Assessment Across Disaster Domains

    Mar 1, 2026Alp Eren Gençoğlu, Hazım Kemal EkenelDisaster Damage AssessmentBuilding Damage Assessment

  21. Architectural Insights for Post-Tornado Damage Recognition

    Feb 16, 2026Robinson Umeike, Thang Dao, Shane Crawford +8Disaster Damage AssessmentBuilding Damage Assessment

  22. DisasterInsight: A Building-Centric Benchmark for Evaluating Vision--Language Models in Disaster Response

    Jan 26, 2026Sara Tehrani, Yonghao Xu, Leif Haglund +3Building Damage AssessmentRemote Sensing Image Understanding