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Fully convolutional Siamese neural networks for buildings damage
  assessment from satellite images

Fully convolutional Siamese neural networks for buildings damage assessment from satellite images

31 October 2021
Eugene Khvedchenya
Tatiana Gabruseva
ArXiv (abs)PDFHTML

Papers citing "Fully convolutional Siamese neural networks for buildings damage assessment from satellite images"

3 / 3 papers shown
Title
Causality-informed Rapid Post-hurricane Building Damage Detection in
  Large Scale from InSAR Imagery
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
Chenguang Wang
Yepeng Liu
Xiaojian Zhang
Xuechun Li
Vladimir Paramygin
Arthriya Subgranon
Peter Sheng
Xilei Zhao
Susu Xu
64
12
0
02 Oct 2023
Rapid building damage assessment workflow: An implementation for the
  2023 Rolling Fork, Mississippi tornado event
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Caleb Robinson
Simone Fobi Nsutezo
Anthony Ortiz
Tina Sederholm
Rahul Dodhia
Cameron Birge
Kasie Richards
K. Pitcher
Paulo Duarte
J. L. Ferres
131
7
0
21 Jun 2023
A General Purpose Neural Architecture for Geospatial Systems
A General Purpose Neural Architecture for Geospatial Systems
Nasim Rahaman
Martin Weiss
Frederik Trauble
Francesco Locatello
Alexandre Lacoste
Yoshua Bengio
C. Pal
Li Erran Li
Bernhard Schölkopf
AI4TSAI4CE
55
6
0
04 Nov 2022
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