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. 2022 Jun 18;22(12):4610. doi: 10.3390/s22124610

Table 8.

A comprehensive summary of LiDAR-based assessment techniques for post-disaster reconnaissance.

References Laser-Based Scanning Device Type of Assessment Post-Processing Method(s)
[7] N/A Earthquake-induced building damages Pre- and post-Event comparison
[106] Lecia ALS50 Collapsed building detection Segmentation algorithm with maxent and rule-based classifiers
[107] N/A Earthquake-induced building damages Difference maps
[108] Optech LYNX Mobile Mapper M1 Hazard maps-hurricanes Pre- and post-event comparison
[109] Leica ScanStation C10 and ScanStation 2 Earthquake-induced building damages N/A
[110] Blom-CGR Earthquake-induced building damages Gabor Wavelets, Support Vector Machines and Random Forest
[111] N/A Earthquake-induced building damages Point Cloud and BIM model comparison
[112] Optech LYNX Mobile Mapper M1 Hurricane-induced building damages Pre- and post-event comparison
[113] N/A Earthquake-induced building damages Surface Normal Algorithms and Standard Deviation Ratio
[114] Lecia ALS60 Earthquake-induced building damages Classification algorithm
[115] FARO Focus 3D Damage evaluation Hybrid method-3d coordinate and image-based
[116] Leica ALS50II Earthquake-induced building damages Correlation coefficients of dsms
[117] Optech LYNX Mobile Mapper M1 Structural damage evaluation Segmentation technique
[118] N/A Hurricane-induced building damages Clustering matching algorithm
[119] Leica ALS60 Damage evaluation Vosselman filtering method
[120] N/A Earthquake-induced building damages Modal analysis