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
2. Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake W. Yang et al.
3. Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images H. Ma et al.
4. Deep Learning for Post-earthquake Road Blockage and Debris Detection in Resource-Limited Contexts Z. Bayat et al.
5. A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment M. Shafapourtehrany et al.
6. Building Damage Assessment From Post-Hurricane Imageries Using Unsupervised Domain Adaptation With Enhanced Feature Discrimination C. Lin et al.