AERIAL IMAGES AND LIDAR DATA FUSION FOR DISASTER CHANGE DETECTION

15 citations as recorded by crossref.

1. LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data K. Zhou et al. 10.1016/j.isprsjprs.2020.02.005
2. Identification of Damaged Building Regions From High- Resolution Images Using Superpixel-Based Gradient and Autocorrelation Analysis C. Liu et al. 10.1109/JSTARS.2020.3034378
3. Building Change Detection Using a Shape Context Similarity Model for LiDAR Data X. Lyu et al. 10.3390/ijgi9110678
4. Automated detection of damaged buildings in post-disaster scenarios: a case study of Kahramanmaraş (Türkiye) earthquakes on February 6, 2023 C. Serifoglu Yilmaz et al. 10.1007/s11069-023-06154-z
5. Classification of lidar bare-earth points, buildings, vegetation, and small objects based on region growing and angular classifier J. Sánchez-Lopera & J. Lerma 10.1080/01431161.2014.960619
6. Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data M. Awrangjeb 10.3390/rs71014119
7. Segment-by-segment comparison technique for earthquake-induced building damage map generation using satellite imagery N. Khodaverdizahraee et al. 10.1016/j.ijdrr.2020.101505
8. Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images A. Vetrivel et al. 10.1016/j.isprsjprs.2015.03.016
9. Entropy-Based Fusion of Water Indices and DSM Derivatives for Automatic Water Surfaces Extraction and Flood Monitoring P. Horkaew & S. Puttinaovarat 10.3390/ijgi6100301
10. Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images Z. Du et al. 10.1109/JSTARS.2023.3333959
11. Tsunami damage assessment and monitoring of reconstruction in Nagapattinam area using multispectral images G. Jiji & G. Merlin 10.1080/19479832.2016.1141240
12. Building Damage Detection of the 2004 Nagapattinam, India, Tsunami Using the Texture and Spectral Features from IKONOS Images G. Merlin & G. Jiji 10.1007/s12524-018-0858-z
13. BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection S. Seydi et al. 10.3390/rs14092214
14. An approach to urban building height and floor estimation by using LiDAR data A. Erener et al. 10.1007/s12517-020-06006-1
15. HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation C. Pang et al. 10.1109/TGRS.2024.3367778