AUTOMATIC BUILDING DAMAGE DETECTION METHOD USING HIGH-RESOLUTION REMOTE SENSING IMAGES AND 3D GIS MODEL

9 citations as recorded by crossref.

1. Automated Analysis of Mobile LiDAR Data for Component‐Level Damage Assessment of Building Structures during Large Coastal Storm Events Z. Zhou & J. Gong 10.1111/mice.12345
2. A Model Study of Building Seismic Damage Information Extraction and Analysis on Ground‐Based LiDAR Data F. Yang et al. 10.1155/2021/5542012
3. Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review S. Ghaffarian et al. 10.3390/rs10111760
4. SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation S. Xing et al. 10.3390/rs14092252
5. Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning A. Vetrivel et al. 10.1016/j.isprsjprs.2017.03.001
6. Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping—A Soybean Field Case Study N. Ubben et al. 10.3390/rs16101778
7. Generating 3D city models without elevation data F. Biljecki et al. 10.1016/j.compenvurbsys.2017.01.001
8. Hurricane damage assessment using coupled convolutional neural networks: a case study of hurricane Michael P. Berezina & D. Liu 10.1080/19475705.2022.2030414
9. Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment M. Areti & Z. Hasnain 10.1061/(ASCE)CP.1943-5487.0001036