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

5 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 10.1080/10106049.2021.1933213
2. Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake W. Yang et al. 10.3390/rs13030504
3. Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images H. Ma et al. 10.3390/rs12020260
4. A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment M. Shafapourtehrany et al. 10.3390/rs15071939
5. Building Damage Assessment From Post-Hurricane Imageries Using Unsupervised Domain Adaptation With Enhanced Feature Discrimination C. Lin et al. 10.1109/TGRS.2021.3054869