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A volumetric change detection framework using UAV oblique photogrammetry
  - A case study of ultra-high-resolution monitoring of progressive building
  collapse

A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse

5 August 2021
N. Xu
Debao Huang
Shuang Song
Xiao Ling
Chris Strasbaugh
Alper Yilmaz
H. Sezen
R. Qin
ArXiv (abs)PDFHTML

Papers citing "A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse"

5 / 5 papers shown
Title
Large-scale DSM registration via motion averaging
Large-scale DSM registration via motion averaging
Ningli Xu
Rongjun Qin
66
1
0
29 May 2024
Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on
  Large-scale Aerial Datasets
Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets
Ningli Xu
Rongjun Qin
Debao Huang
Fabio Remondino
51
10
0
01 Oct 2023
Classification of structural building damage grades from multi-temporal
  photogrammetric point clouds using a machine learning model trained on
  virtual laser scanning data
Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data
V. Zahs
K. Anders
Julia Kohns
Alexander Stark
Bernhard Hofle
13
11
0
24 Feb 2023
Inferring 3D change detection from bitemporal optical images
Inferring 3D change detection from bitemporal optical images
V. Marsocci
V. Coletta
R. Ravanelli
Simone Scardapane
M. Crespi
3DPC
89
20
0
31 May 2022
Engineering deep learning methods on automatic detection of damage in
  infrastructure due to extreme events
Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
Y. Bai
B. Zha
H. Sezen
Alper Yilmaz
28
29
0
01 May 2022
1