THE EXTRACTION OF POST-EARTHQUAKE BUILDING DAMAGE INFORMATIOM BASED ON CONVOLUTIONAL NEURAL NETWORK

6 citations as recorded by crossref.

1. Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images-A systematic review S. Matin & B. Pradhan https://doi.org/10.1080/10106049.2021.1933213
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3. Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images H. Ma et al. https://doi.org/10.3390/rs12020260
4. Deep Learning for Post-earthquake Road Blockage and Debris Detection in Resource-Limited Contexts Z. Bayat et al. https://doi.org/10.1007/s12524-025-02394-7
5. A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment M. Shafapourtehrany et al. https://doi.org/10.3390/rs15071939
6. Building Damage Assessment From Post-Hurricane Imageries Using Unsupervised Domain Adaptation With Enhanced Feature Discrimination C. Lin et al. https://doi.org/10.1109/TGRS.2021.3054869