ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.05581
  4. Cited By
Benchmark Dataset for Automatic Damaged Building Detection from
  Post-Hurricane Remotely Sensed Imagery

Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery

13 December 2018
S. Chen
Andrew Escay
C. Haberland
Tessa Schneider
Valentina Staneva
Youngjun Choe
ArXivPDFHTML

Papers citing "Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery"

8 / 8 papers shown
Title
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery
Thomas Manzini
Priyankari Perali
Jayesh Tripathi
Robin Murphy
37
0
0
12 May 2025
NADBenchmarks -- a compilation of Benchmark Datasets for Machine
  Learning Tasks related to Natural Disasters
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
A. Proma
Md. Saiful Islam
Stela Ciko
Raiyan Abdul Baten
E. Hoque
42
3
0
21 Dec 2022
Interpretability in Convolutional Neural Networks for Building Damage
  Classification in Satellite Imagery
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
Thomas Y. Chen
23
6
0
24 Jan 2022
Damage Estimation and Localization from Sparse Aerial Imagery
Damage Estimation and Localization from Sparse Aerial Imagery
René Andrés García Franceschini
Jeffrey Liu
Saurabh Amin
18
5
0
05 Nov 2021
S2Looking: A Satellite Side-Looking Dataset for Building Change
  Detection
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen
Yao Lu
Hao Chen
Hao Wei
Donghai Xie
Jiabao Yue
Rui Chen
Shouye Lv
Bitao Jiang
26
141
0
20 Jul 2021
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation
  Features
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features
Q. D. Cao
Youngjun Choe
21
6
0
15 Dec 2020
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for
  Natural Disaster Damage Assessment
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
Maryam Rahnemoonfar
Tashnim Chowdhury
Robin Murphy
Odair Fernandes
18
35
0
02 Sep 2020
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
Ritwik Gupta
Richard Hosfelt
Sandra Sajeev
N. Patel
B. Goodman
Jigar Doshi
Eric T. Heim
Howie Choset
Matthew E. Gaston
19
271
0
21 Nov 2019
1