Automated processing of high resolution airborne images for earthquake damage assessment

8 citations as recorded by crossref.

1. Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. 10.5194/nhess-18-583-2018
2. Dynamic Post-Earthquake Image Segmentation with an Adaptive Spectral-Spatial Descriptor G. Sun et al. 10.3390/rs9090899
3. Combined multiscale segmentation convolutional neural network for rapid damage mapping from postearthquake very high-resolution images H. Huang et al. 10.1117/1.JRS.13.022007
4. The Use of Precise Survey Techniques to Find the Connection between Discontinuities and Surface Morphologic Features in the Laže Quarry in Slovenia A. Lazar et al. 10.3390/min10040326
5. Application of UAV in Topographic Modelling and Structural Geological Mapping of Quarries and Their Surroundings—Delineation of Fault-Bordered Raw Material Reserves Á. Török et al. 10.3390/s20020489
6. Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
7. Rapid Identification of Post-Earthquake Collapsed Buildings via Multi-Scale Morphological Profiles With Multi-Structuring Elements B. Wang et al. 10.1109/ACCESS.2020.3007255
8. Fusion of satellite, aircraft, and UAV data for automatic disaster damage assessment M. Kakooei & Y. Baleghi 10.1080/01431161.2017.1294780